MCP server that unifies web search, AI answer, GitHub search, and web extraction providers including Tavily, Brave, Kagi, Exa, Linkup, Firecrawl, and GitHub behind four consolidated tools.
Omnisearch MCP Server can query multiple third-party search, AI answer, GitHub search, extraction, scraping, crawling, summarization, and content-processing providers., Firecrawl crawl, scrape, map, extract, and action modes can interact with websites and may trigger robots.txt, TOS, rate-limit, or authentication concerns., GitHub search depends on the configured token scope and can reveal private code, repositories, users, or organization metadata when a broad token is used., Large result mode can write response content to files; review where those files are stored before using it with private or regulated data., Require confirmation before crawling sites, extracting private URLs, using authenticated providers on sensitive targets, or running broad GitHub searches against private organizations.
Privacy notes
Provider API keys, GitHub tokens, search queries, URLs, extracted page content, crawled site maps, scraped text, summaries, AI answers, GitHub search results, and large-result files can be exposed to the MCP client., Search and extraction providers may log queries, URLs, source content, account identifiers, usage metadata, and generated responses according to their own policies., Web extraction can capture personal data, paywalled content, internal URLs, or proprietary documents if supplied by the user or available to an authenticated provider., GitHub search output may include repository names, code snippets, file paths, commit metadata, and organization details., Keep provider credentials in local MCP configuration only, and avoid sharing transcripts that contain private queries, URLs, source text, or tokens.
Author
Scott Spence
Submitted by
oktofeesh1
Claim status
unclaimed
Last verified
2026-06-06
Decision playbook
Review trust signals before you adopt
Signals are present but mixed. Use the checklist below to confirm the source and operational safety for your environment.
Compare context
Selected
0
Current score
63
Baseline
—
Delta
No baseline selected
No major trust-signal divergence detected in the current selection.
Source and provenance checks
Needs review
Confirm ownership and provenance before trusting install instructions.
Source link availableRequired
Open the canonical repository and verify ownership.
Done
Source provenance statusRequired
Marked as source-backed.
Done
Metadata reviewed
No reviewed flag detected in metadata.
Pending
Safety and privacy checks
Complete
Validate risk disclosures before installation or API wiring.
Safety notes presentRequired
Review the listed safety guidance before running commands.
Done
Privacy notes presentRequired
Review data handling notes before connecting accounts or secrets.
Done
Trust level risk gateRequired
Trust level does not block evaluation.
Done
Package and install checks
Needs review
Check package metadata and artifact integrity signals.
Install payload available
Install or copy payload is available for review.
Done
Package verification flag
No package verification flag provided.
Pending
Checksum metadata
No checksum provided for downloaded artifact.
Pending
Compare-driven decision checks
Needs review
Use compare context to validate trade-offs before adoption.
Compare tray has multiple entries
Add at least one more entry to compare trust differences.
5 safety and 5 privacy notes across 4 risk areas. Review closely: credentials & tokens, third-party handling.
4 areas
SafetyThird-party handlingOmnisearch MCP Server can query multiple third-party search, AI answer, GitHub search, extraction, scraping, crawling, summarization, and content-processing providers.
SafetyGeneralFirecrawl crawl, scrape, map, extract, and action modes can interact with websites and may trigger robots.txt, TOS, rate-limit, or authentication concerns.
SafetyCredentials & tokensGitHub search depends on the configured token scope and can reveal private code, repositories, users, or organization metadata when a broad token is used.
SafetyLocal filesLarge result mode can write response content to files; review where those files are stored before using it with private or regulated data.
SafetyThird-party handlingRequire confirmation before crawling sites, extracting private URLs, using authenticated providers on sensitive targets, or running broad GitHub searches against private organizations.
PrivacyCredentials & tokensProvider API keys, GitHub tokens, search queries, URLs, extracted page content, crawled site maps, scraped text, summaries, AI answers, GitHub search results, and large-result files can be exposed to the MCP client.
PrivacyThird-party handlingSearch and extraction providers may log queries, URLs, source content, account identifiers, usage metadata, and generated responses according to their own policies.
PrivacyThird-party handlingWeb extraction can capture personal data, paywalled content, internal URLs, or proprietary documents if supplied by the user or available to an authenticated provider.
PrivacyLocal filesGitHub search output may include repository names, code snippets, file paths, commit metadata, and organization details.
PrivacyCredentials & tokensKeep provider credentials in local MCP configuration only, and avoid sharing transcripts that contain private queries, URLs, source text, or tokens.
Disclosure: Community-maintained MIT MCP server that wraps multiple external search, extraction, AI-answer, and GitHub providers. Users must follow each provider's API, quota, billing, retention, and website-use policies.
Safety notes
Omnisearch MCP Server can query multiple third-party search, AI answer, GitHub search, extraction, scraping, crawling, summarization, and content-processing providers.
Firecrawl crawl, scrape, map, extract, and action modes can interact with websites and may trigger robots.txt, TOS, rate-limit, or authentication concerns.
GitHub search depends on the configured token scope and can reveal private code, repositories, users, or organization metadata when a broad token is used.
Large result mode can write response content to files; review where those files are stored before using it with private or regulated data.
Require confirmation before crawling sites, extracting private URLs, using authenticated providers on sensitive targets, or running broad GitHub searches against private organizations.
Privacy notes
Provider API keys, GitHub tokens, search queries, URLs, extracted page content, crawled site maps, scraped text, summaries, AI answers, GitHub search results, and large-result files can be exposed to the MCP client.
Search and extraction providers may log queries, URLs, source content, account identifiers, usage metadata, and generated responses according to their own policies.
Web extraction can capture personal data, paywalled content, internal URLs, or proprietary documents if supplied by the user or available to an authenticated provider.
GitHub search output may include repository names, code snippets, file paths, commit metadata, and organization details.
Keep provider credentials in local MCP configuration only, and avoid sharing transcripts that contain private queries, URLs, source text, or tokens.
Prerequisites
Node.js 22 or newer for the published npm package.
At least one provider API key for Tavily, Kagi, Brave Search, GitHub, Exa, Linkup, or Firecrawl.
Optional `FIRECRAWL_BASE_URL` when using a self-hosted Firecrawl instance.
Optional `OMNISEARCH_LARGE_RESULT_MODE` choice for file or inline handling of large results.
Review of which providers, quotas, search indexes, URLs, GitHub scopes, and extraction/crawling modes Claude may use.
Schema details
Install type
cli
Troubleshooting
No
Source repository stats
Scope
Source repo
Collection metadata
Estimated setup
15 minutes
Difficulty
intermediate
Tool listing metadata
Disclosure
Community-maintained MIT MCP server that wraps multiple external search, extraction, AI-answer, and GitHub providers. Users must follow each provider's API, quota, billing, retention, and website-use policies.
Omnisearch MCP Server connects Claude and other MCP clients to multiple search,
AI-answer, GitHub search, and web-extraction providers through four consolidated
tools: web_search, ai_search, github_search, and web_extract.
Use it when Claude needs one MCP interface for provider-backed web search,
sourced AI answers, GitHub search, URL extraction, crawling, scraping,
summaries, similar-content discovery, or content retrieval.
These sources were reviewed on 2026-06-06. Prefer the live repository,
README, npm metadata, license, package metadata, server manifest, provider
selection guide, large-results guide, server entrypoint, and tool registry for
current setup and behavior details.
Features
Search the web through Tavily, Brave Search, Kagi, Exa, or Kagi Enrichment.
Get sourced AI answers through Kagi FastGPT, Exa Answer, or Linkup.
Search GitHub code, repositories, and users.
Extract, scrape, crawl, map, summarize, or find similar content through
Tavily, Kagi, Firecrawl, or Exa.
Skip unavailable providers when API keys are not configured.
Use provider-selection documentation to choose a provider by task, key, mode,
and capability.
Route large results either inline or through file mode.
Installation
Configure at least one provider API key, then launch the server:
Only include the provider keys you actually intend Claude to use. Use a
least-privilege GitHub token when enabling GitHub search.
Use Cases
Search current web results through a preferred provider.
Ask for a sourced AI answer and compare providers.
Search public or approved private GitHub code for examples.
Extract a long article, documentation page, or site map.
Crawl an approved documentation site and summarize relevant pages.
Switch providers when one service is unavailable, rate-limited, or poorly
suited to the task.
Safety and Privacy
Omnisearch MCP Server is a broker over multiple external providers. Scope API
keys carefully, confirm before crawling or scraping, and respect website terms,
robots policies, provider quotas, billing, and retention behavior.
Treat provider keys, GitHub tokens, queries, URLs, extracted content, crawled
pages, GitHub results, AI answers, summaries, and large-result files as
sensitive. Avoid sending private URLs, proprietary source text, or broad GitHub
tokens through providers that should not receive them.
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How it compares
Omnisearch MCP Server side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.
MCP server that unifies web search, AI answer, GitHub search, and web extraction providers including Tavily, Brave, Kagi, Exa, Linkup, Firecrawl, and GitHub behind four consolidated tools.
Local-first MCP server for web scraping, crawling, URL mapping, batch extraction, structured extraction, summarization, diffing, brand extraction, and optional hosted API fallback for bot-protected pages.
MCP server for the Graphlit platform, enabling Claude to ingest, search, retrieve, organize, and operate on files, web pages, feeds, collections, conversations, memory, connectors, crawls, and RAG-ready project knowledge.
No-key multi-engine MCP server, CLI, and local daemon for web search and public web content retrieval across engines such as Bing, DuckDuckGo, Brave, Exa, Baidu, CSDN, Juejin, Startpage, and Sogou.
✓Omnisearch MCP Server can query multiple third-party search, AI answer, GitHub search, extraction, scraping, crawling, summarization, and content-processing providers.
Firecrawl crawl, scrape, map, extract, and action modes can interact with websites and may trigger robots.txt, TOS, rate-limit, or authentication concerns.
GitHub search depends on the configured token scope and can reveal private code, repositories, users, or organization metadata when a broad token is used.
Large result mode can write response content to files; review where those files are stored before using it with private or regulated data.
Require confirmation before crawling sites, extracting private URLs, using authenticated providers on sensitive targets, or running broad GitHub searches against private organizations.
✓WebClaw MCP Server can scrape one URL, crawl same-origin links, map URLs, batch multiple URLs, extract structured data, summarize pages, compare snapshots, and extract brand metadata.
Scraping, crawling, search, research, and hosted fallback can trigger target-site rate limits, bot protections, legal restrictions, or terms-of-service limits.
The server validates public HTTP URLs and rejects private or internal destinations, but operators should still avoid fetching internal, secret, customer-specific, or credential-bearing URLs.
Cookie-bearing requests, proxies, and browser profiles can expose authenticated sessions or route traffic through external infrastructure.
Setting `WEBCLAW_API_KEY` enables hosted API fallback, which can send target URLs and page context to the WebClaw service.
Structured extraction and summarization may use configured LLM providers; review provider data handling before enabling those tools with sensitive pages.
✓Graphlit MCP Server can ingest files, web pages, messages, posts, emails, issues, text, memory, feeds, crawls, and connected SaaS data into a Graphlit project.
Tools can create or delete contents, feeds, collections, conversations, specifications, and workflows, and can configure project defaults when explicitly requested.
Web crawling, web search, screenshots, podcast search, feed scheduling, publishing, and connector operations may contact third-party services and process external content.
Generated audio and image publishing can call configured model/provider services and consume credits or quota.
Require confirmation before ingesting private repositories, emails, drive files, Slack/Teams/Discord data, customer documents, large crawls, generated media, deletion operations, or project configuration changes.
✓open-webSearch can send search queries to multiple public engines and fetch public web pages, GitHub READMEs, CSDN articles, Juejin articles, and other supported targets.
Search and fetch results can be incomplete, stale, rate-limited, blocked, region-dependent, or affected by search-engine ranking and scraping protections.
Respect each target site's terms and robots expectations; do not use the server for abusive scraping, credentialed browsing, paywall bypass, or personal-data harvesting.
The optional local daemon exposes HTTP endpoints for local tooling; keep it bound to trusted local interfaces and do not treat it as a public internet API.
Proxy settings, Playwright WebSocket/CDP endpoints, and reused browser sessions can route traffic or cookies through external systems; configure them deliberately.
Leave TLS verification enabled unless a specific target has a broken certificate chain and the risk has been accepted.
Privacy notes
✓Provider API keys, GitHub tokens, search queries, URLs, extracted page content, crawled site maps, scraped text, summaries, AI answers, GitHub search results, and large-result files can be exposed to the MCP client.
Search and extraction providers may log queries, URLs, source content, account identifiers, usage metadata, and generated responses according to their own policies.
Web extraction can capture personal data, paywalled content, internal URLs, or proprietary documents if supplied by the user or available to an authenticated provider.
GitHub search output may include repository names, code snippets, file paths, commit metadata, and organization details.
Keep provider credentials in local MCP configuration only, and avoid sharing transcripts that contain private queries, URLs, source text, or tokens.
✓URLs, fetched page content, crawl results, extracted structured data, snapshots, brand metadata, cookies, proxy settings, API keys, and LLM prompts can be exposed to the MCP client.
Crawled pages may include personal data, customer content, non-public links, access tokens embedded in URLs, or site-specific identifiers.
Diff snapshots and exported JSON can preserve page content longer than expected; store and delete them according to the workflow's retention needs.
Hosted fallback, proxy providers, search/research APIs, and LLM providers may observe target URLs, headers, cookies, prompts, and extracted content when enabled.
Redact sensitive URLs and extracted data before sharing MCP transcripts, crawl results, logs, or generated RAG context.
✓Graphlit environment IDs, organization IDs, JWT secrets, project IDs, resource IDs, connector tokens, URLs, files, emails, messages, issues, transcripts, screenshots, memories, conversations, usage records, and retrieved sources can be exposed to the MCP client.
Ingested documents may be extracted to Markdown; audio and video may be transcribed; images and pages may be described or screenshot.
Connected services such as Slack, Discord, Google Drive, Microsoft 365, GitHub, Jira, Linear, Notion, Dropbox, Box, Reddit, and Twitter/X can expose private workspace content.
Usage records can include request, response, variables, token counts, bytes, units, and credit charges for project operations.
Keep Graphlit secrets in local MCP client configuration only, and review retention, deletion, and connector policies before ingesting regulated or customer data.
✓Search queries, fetched URLs, result titles, snippets, article content, proxy URLs, browser endpoints, and fetched page text can be exposed to MCP clients, logs, and model context.
Live search engines and fetched websites may observe queries, IP address, proxy exit, browser fingerprints, cookies, timing, and request headers.
Playwright fallback or CDP reuse can expose browser state, existing cookies, logged-in sessions, or verification state to fetched pages.
The project includes public URL validation and private-network target protections, but operators should still avoid fetching internal, secret, or customer-specific URLs.
Redact sensitive search terms and downloaded page content before sharing transcripts or logs.
Prerequisites
Node.js 22 or newer for the published npm package.
At least one provider API key for Tavily, Kagi, Brave Search, GitHub, Exa, Linkup, or Firecrawl.
Optional `FIRECRAWL_BASE_URL` when using a self-hosted Firecrawl instance.
Optional `OMNISEARCH_LARGE_RESULT_MODE` choice for file or inline handling of large results.
Node.js for the `create-webclaw` installer, or Rust/Cargo when building the MCP binary from source.
Review of AGPL-3.0 obligations before redistributing or operating modified server versions.
Review of target-site terms, robots expectations, rate limits, and scraping permissions.
Optional `WEBCLAW_API_KEY` only when hosted API fallback is acceptable for bot-protected or JavaScript-heavy pages.
Active Graphlit platform account and project access.
Graphlit organization ID, environment ID, and JWT secret from the Graphlit API settings dashboard.
Node.js 18 or newer for the npm stdio server.
Review of which files, URLs, feeds, SaaS connectors, memories, conversations, collections, and web crawls Claude may create or query.
Node.js 18 or newer for the published npm package.
Review of search-engine terms, scraping limits, rate limits, and allowed use for the target websites.
Optional proxy configuration only when live search or fetch traffic must route through an approved proxy.
Optional Playwright or browser endpoint setup only when request-based search/fetch is insufficient.