Ask Claude: "Compare revenue growth across tech companies"
Extract key metrics from investor presentation
Common usage pattern for this MCP server
Ask Claude: "Extract key metrics from investor presentation"
Show historical EBITDA margins
Common usage pattern for this MCP server
Ask Claude: "Show historical EBITDA margins"
Extract Data from Document
Extract structured data from a document using Daloopa extraction templates
// Extract data from document using Daloopa
const result = await daloopa.extract({
document_url: "https://example.com/document.pdf",
extraction_template: "invoice",
fields: ["invoice_number", "date", "amount", "vendor"],
});
Security
OAuth authentication for access
Respect data licensing agreements
Monitor API usage limits
Cache frequently accessed data
Daloopa API keys and access tokens must be securely stored and never exposed in client-side code or public repositories - use environment variables and secure credential management
Daloopa document URLs and extraction templates may expose data sources and extraction patterns - ensure Daloopa resource identifiers are kept private and not shared in public configurations
Rate limiting and API quota management are critical for Daloopa MCP servers - implement proper rate limit handling, retry logic, and quota monitoring to prevent service disruption
Daloopa webhook configurations and payloads may contain sensitive document data and extraction results - ensure webhook endpoints are properly secured with authentication and HTTPS encryption
Daloopa extraction results may contain sensitive business data - ensure extraction results are properly secured and access-controlled according to data privacy requirements
Troubleshooting
Authentication error: API key invalid or missing
Add Authorization header with your API key to all requests. Contact Daloopa sales team to obtain or regenerate API key. Verify key is copied correctly without extra spaces or line breaks.
Company data not found or unavailable
Verify ticker symbol is correct and company is in Daloopa coverage universe. Check your subscription tier includes access to requested company data. Contact Daloopa support for coverage questions.
Financial metrics missing for specific periods
Confirm company has filed SEC documents for requested period. Check data availability dates for your subscription tier. Verify quarter/year format matches API requirements (e.g., Q1 2024).
API requests timing out or running slowly
Reduce payload size by limiting fields returned in response. Implement pagination for large datasets. Check network connectivity and consider caching frequently accessed data locally.
Daloopa MCP server authentication errors with API keys
Verify API key is valid and not expired. Check API key permissions match required operations. Ensure API key format is correct (Bearer token in Authorization header). Regenerate API key from Daloopa dashboard if needed.
Daloopa extraction job failures or timeouts
Check document format is supported (PDF, Excel, Word, etc.). Verify document is accessible and not password-protected. Ensure network connectivity is stable. For large documents, use chunked processing with resumable extraction support.
Daloopa MCP server rate limiting or throttling errors
Implement exponential backoff retry logic with jitter. Use Daloopa API rate limit headers to monitor usage. Reduce concurrent extraction requests. Cache frequently accessed extraction templates. Request rate limit increases from Daloopa support if needed.
Daloopa MCP server connection timeouts or network errors
Check network connectivity and firewall settings. Verify Daloopa API endpoints are accessible. Increase request timeout values. Implement connection pooling and retry mechanisms with exponential backoff.
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How it compares
Daloopa MCP Server for Claude side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.
2 trust signals differ across this comparison (Package trust, Submitter).
Streamable HTTP MCP server for financial research workflows, including standardized financial data, SEC filing search, company discovery, market signals, ticker resolution, and alternative-data table exploration.
Local MCP server for the edgartools Python library, letting Claude search, parse, read, compare, and analyze SEC EDGAR filings, companies, ownership, funds, proxy statements, notes, trends, and live filing feeds.
✓Treat financial data as informational research and verify figures before using them for investment, accounting, or reporting decisions.
✓This server retrieves financial market data; do not treat tool output or model summaries as investment, trading, tax, or legal advice.
Current prices, crypto prices, filings, and news can be delayed, incomplete, rate limited, or unavailable depending on API plan and market conditions.
Review generated analysis before using it in portfolio decisions, trading workflows, client reports, or compliance-sensitive research.
The server sends ticker symbols, date ranges, filing filters, and research queries to the Financial Datasets API.
✓Drillr's MCP endpoint is a remote Streamable HTTP server at `https://gateway.drillr.ai/mcp/data` and requires a bearer API key.
Tool calls can consume Drillr credits or billable API usage. Check plan limits and remaining credit balance before high-volume research loops.
run_sql is documented as read-only SELECT access, but broad queries across 90-plus tables can still be expensive, slow, or noisy.
Treat outputs as research inputs, not investment, legal, accounting, tax, or trading advice.
Drillr documents that it does not place trades, manage brokerage positions, expose options chains, or provide its own price forecasts.
Review cited SEC filing paragraphs, table schemas, ticker resolution, and source coverage before relying on results in reports or decisions.
✓edgartools MCP can query live SEC filings, parse structured filing data, search filing text, monitor recent filings, compare companies, inspect ownership, and extract proxy or fund information.
SEC EDGAR access requires an identity string and can be rate-limited if automated requests are too frequent or unidentified.
Filing analysis can produce plausible financial, legal, governance, compensation, or risk conclusions that still require expert review.
The local server is stateless, but remote HTTP transport deployments still need normal network access controls if shared with a team.
Do not treat model-generated summaries as investment advice, legal advice, accounting advice, or a substitute for reading the filing source.
Privacy notes
✓Company queries, filing references, financial models, and research topics may be sent through the MCP client and model.
✓API keys must be stored in environment variables or local secret managers and never committed to configuration files.
Queried tickers, crypto symbols, time ranges, filings, and news requests can reveal research interests, watchlists, client assignments, or trading hypotheses.
Tool outputs may include financial statements, prices, filings, and news that become part of the model context and logs.
Avoid sending private portfolio holdings, customer identifiers, or material non-public information through prompts or tool arguments.
✓Prompts, ticker lists, research themes, SQL queries, and retrieved financial context are sent to Drillr's hosted gateway and the connected MCP client.
Drillr API keys are sensitive credentials. Keep them out of prompts, shared configs, issue comments, logs, screenshots, and repository files.
Research prompts may reveal portfolio interests, watchlists, investment theses, client names, diligence topics, or confidential strategy.
SEC filing excerpts, analyst consensus, alt-data, market signals, and generated summaries may be retained by MCP clients, AI providers, logs, or downstream tools.
Use synthetic prompts or public tickers for demos, screenshots, and examples when client, portfolio, or internal research strategy is sensitive.
✓Tool inputs can reveal watchlists, portfolio interests, deal research, diligence targets, litigation topics, trading hypotheses, or compliance questions.
Tool outputs can expose filing excerpts, insider transactions, institutional holdings, compensation data, financial metrics, and query strategy in the MCP client transcript.
EDGAR_IDENTITY includes a name and email address; keep it scoped to approved automation and avoid committing it to source control.
If using hosted edgar.tools services instead of the local server, review the hosted service's tier, retention, processing, and data-use terms separately.
Prerequisites
Daloopa account with active subscription
Daloopa API key (obtained from Daloopa sales team - contact sales@daloopa.com)
Internet connection for accessing Daloopa MCP server (https://mcp.daloopa.com/server/mcp)
Claude Desktop 0.7.0+ or Claude Code with MCP support
Python 3.11 or newer, matching the upstream project metadata.
uv installed on the machine running the MCP server.
A cloned checkout of `financial-datasets/mcp-server`.
Financial Datasets API key stored as `FINANCIAL_DATASETS_API_KEY`.
Drillr account at `https://drillr.ai`.
External-scope Drillr API key from `https://drillr.ai/developer/keys`.
MCP client that supports Streamable HTTP servers with bearer headers.
Secure secret storage for `DRILLR_API_KEY` outside prompts, repository files, screenshots, and shell history.
Python 3.10 or newer and `uvx` available, or the `edgartools[ai]` package installed.
EDGAR_IDENTITY set to the name and email required for automated SEC EDGAR access.
Network access to SEC EDGAR endpoints and patience for rate limits or transient filing fetch failures.
Understanding of the filing forms, companies, sections, and time periods being analyzed.