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.
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.
Privacy notes
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.
Author
Graphlit
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 5 risk areas. Review closely: credentials & tokens, network access, third-party handling.
5 areas
SafetyLocal filesGraphlit MCP Server can ingest files, web pages, messages, posts, emails, issues, text, memory, feeds, crawls, and connected SaaS data into a Graphlit project.
SafetyNetwork accessTools can create or delete contents, feeds, collections, conversations, specifications, and workflows, and can configure project defaults when explicitly requested.
SafetyThird-party handlingWeb crawling, web search, screenshots, podcast search, feed scheduling, publishing, and connector operations may contact third-party services and process external content.
SafetyThird-party handlingGenerated audio and image publishing can call configured model/provider services and consume credits or quota.
SafetyLocal filesRequire confirmation before ingesting private repositories, emails, drive files, Slack/Teams/Discord data, customer documents, large crawls, generated media, deletion operations, or project configuration changes.
PrivacyCredentials & tokensGraphlit 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.
PrivacyGeneralIngested documents may be extracted to Markdown; audio and video may be transcribed; images and pages may be described or screenshot.
PrivacyGeneralConnected services such as Slack, Discord, Google Drive, Microsoft 365, GitHub, Jira, Linear, Notion, Dropbox, Box, Reddit, and Twitter/X can expose private workspace content.
PrivacyCredentials & tokensUsage records can include request, response, variables, token counts, bytes, units, and credit charges for project operations.
PrivacyCredentials & tokensKeep Graphlit secrets in local MCP client configuration only, and review retention, deletion, and connector policies before ingesting regulated or customer data.
Disclosure: Official MIT MCP server for the Graphlit platform. The server is open source, but use requires a Graphlit account and may consume Graphlit credits, LLM tokens, connector quota, or third-party provider usage.
Safety notes
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.
Privacy notes
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.
Prerequisites
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.
Understanding of Graphlit usage credits, LLM token usage, connector permissions, and any third-party service costs configured for the project.
Schema details
Install type
cli
Troubleshooting
No
Source repository stats
Scope
Source repo
Collection metadata
Estimated setup
20 minutes
Difficulty
intermediate
Tool listing metadata
Disclosure
Official MIT MCP server for the Graphlit platform. The server is open source, but use requires a Graphlit account and may consume Graphlit credits, LLM tokens, connector quota, or third-party provider usage.
Graphlit MCP Server connects Claude and other MCP clients to the Graphlit
platform. It can ingest and retrieve project knowledge across files, web pages,
feeds, collections, conversations, memories, crawls, SaaS connectors, and
RAG-ready search workflows.
Use it when Claude needs supervised access to a Graphlit project for
cross-source knowledge ingestion, retrieval, web crawling, memory, connector,
and content workflow operations.
These sources were reviewed on 2026-06-06. Prefer the live repository,
README, npm metadata, license, package metadata, server entrypoint, tool
registry, resource registry, Smithery metadata, and Glama metadata for current
setup and behavior details.
Features
Query contents, collections, feeds, conversations, relevant sources, similar
images, and project usage records.
Ingest files, web pages, messages, posts, emails, issues, text, and short-term
memory into a Graphlit project.
Work with connectors for services such as Slack, Discord, GitHub, Jira,
Linear, Notion, Google Drive, Microsoft 365, Dropbox, Box, Reddit, and
Twitter/X.
Run web crawling, web search, web mapping, podcast search, and page screenshot
tools.
Publish generated audio or images through configured Graphlit services.
Enumerate connector-specific resources such as Slack channels, Teams channels,
SharePoint libraries, Linear projects, Notion pages, Dropbox folders, Box
folders, Discord channels, and calendars.
Installation
Create a Graphlit project, collect the API settings values, and configure the
stdio server in your MCP client:
Keep the Graphlit environment, organization, and JWT secret values in local MCP
client configuration rather than shared project files.
Use Cases
Ingest a repository, project folder, document set, or website into Graphlit.
Query a cross-tool knowledge base from Claude.
Search project content, retrieve sources, and summarize relevant evidence.
Create short-term memory during research and promote final notes to long-term
knowledge.
Crawl approved documentation sites and map relevant pages.
Query usage records before running larger ingestion or generation jobs.
Safety and Privacy
Graphlit MCP Server operates on a cloud-backed knowledge platform with
connectors, crawling, ingestion, retrieval, generated media, and deletion tools.
Require explicit user approval before ingesting private data, connecting SaaS
workspaces, running large crawls, changing project defaults, publishing media,
or deleting resources.
Treat Graphlit secrets, connector tokens, project resource IDs, retrieved
sources, ingested documents, transcripts, screenshots, usage records, memories,
and conversation history as sensitive. Confirm retention and deletion behavior
before sending customer, regulated, or proprietary content into a Graphlit
project.
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How it compares
Graphlit MCP Server side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.
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.
Official Agentset MCP server that lets Claude retrieve cited knowledge-base results from an Agentset namespace through the `knowledge-base-retrieve` tool, with optional tenant scoping and custom tool descriptions.
Apache-licensed TypeScript MCP server for Obsidian vaults with stdio and Streamable HTTP transports, Local REST API access, note search, section-aware edits, tag/frontmatter management, path policies, and read-only controls.
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.
✓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.
✓The MCP server sends Claude's retrieval queries to the Agentset API using the configured API key and namespace.
The `knowledge-base-retrieve` tool can return up to 100 results per call and can rerank results by relevance.
Namespace and tenant selection control which indexed documents are searchable; review them before connecting a shared agent.
API keys should be scoped, rotated, and stored only in the MCP server environment or a secret manager.
Custom tool descriptions can influence when the model calls the retrieval tool, so review them before use in production workflows.
✓Cyanheads Obsidian MCP can read, list, search, create, append, patch, replace, delete, tag, and edit frontmatter in the configured vault through the Local REST API plugin.
The server defaults to full-vault access unless read paths, write paths, or read-only mode are configured.
Set `OBSIDIAN_READ_ONLY=true` for research-only workflows, then narrow writes with `OBSIDIAN_WRITE_PATHS` before allowing note edits.
Delete operations are permanent in the vault and should require human review even when the MCP host supports destructive-tool prompts.
Command-palette tools are disabled unless `OBSIDIAN_ENABLE_COMMANDS=true`; command execution can trigger opaque or destructive Obsidian plugin behavior.
Streamable HTTP deployments should use JWT or OAuth auth before being exposed beyond a trusted local machine.
✓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
✓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.
✓Retrieved chunks can include private documents, product specs, policies, support content, internal procedures, historical project information, or customer-specific data.
Retrieval queries, namespace IDs, tenant IDs, document chunks, citations, and tool outputs may be visible to the MCP client, model provider, Agentset logs, and application telemetry.
Tenant IDs are useful for data segregation, but incorrect tenant or namespace configuration can expose the wrong knowledge base.
Do not paste API keys, namespace IDs, tenant IDs, or retrieved private chunks into shared issue reports, screenshots, or repository files.
✓Vault notes, headings, block references, frontmatter, tags, file metadata, outgoing links, search queries, command names, plugin status, and edit history may be exposed to the MCP client and model provider.
API keys, local plugin endpoints, HTTP auth settings, path allowlists, logs, OpenTelemetry traces, and Docker environment variables can reveal private vault structure or credentials.
Tag listing is vault-wide in upstream behavior and can reveal tag names outside narrowed read paths.
Notes may contain personal journals, client work, credentials, meeting notes, research plans, health data, or other sensitive knowledge-base content.
✓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
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.
Agentset account or self-hosted Agentset deployment with a populated namespace.
Agentset API key with access to the namespace Claude should query.
Node.js 18.17 or newer for running the `@agentset/mcp` package.
Namespace ID selected with `--ns` or `AGENTSET_NAMESPACE_ID`.
Node.js 24 or newer, or Bun 1.3.11 or newer.
Obsidian vault with the Obsidian Local REST API community plugin enabled.
Local REST API key stored in the MCP client environment.
Stdio MCP client, or reviewed Streamable HTTP deployment with authentication.
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.
Install
npx -y graphlit-mcp-server
Run `npx @agentset/mcp --ns <namespace-id>` with `AGENTSET_API_KEY` set in the MCP server environment.