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DimensionFinance ToolkitTransparent, efficient financial analysisFirecrawl MCP ServerFirecrawl's official MCP server for web search, scraping, and structured extraction for AI agentsExa MCP ServerExa's official MCP server for web search and crawling built for AI applications
FMRS60 / 100 · C75 / 100 · B73 / 100 · B
Reliability10 / 2013 / 2012 / 20
Security and permissions10 / 2012 / 2013 / 20
Maintenance13 / 2016 / 2016 / 20
Documentation14 / 2017 / 2016 / 20
Setup experience13 / 2017 / 2016 / 20
Best for
  • Financial researchers and quantitative analysts who need transparent calculation methods
  • Python users performing fundamental, performance, risk, or technical analysis
  • Users who want to query multiple categories of financial data through an MCP client
  • Scenarios needing clean, structured web context fed to an AI assistant
  • Users already on the Firecrawl platform who want to call its scraping capability directly via MCP
  • Q&A and research scenarios that need real-time, clean web content
  • Users with an existing Exa account who want a zero-deployment remote option
Not for
  • Users unwilling to provide a Financial Modeling Prep API key
  • Users seeking to bypass data-provider plan or request limits
  • Users requiring a single data source with no Yahoo Finance fallback
  • Simple static-page scraping where you don't want to depend on a third-party API and incur call costs
  • Sites that explicitly disallow automated access (robots.txt)
  • Scenarios requiring a strict allowlist of search sources that can't use a third-party search service
  • Budget-sensitive, high-volume search scenarios (remote/API calls may incur cost)
Required permissions
  • Requires a Financial Modeling Prep API key; local installations provide it through FINANCIAL_MODELING_PREP_API_KEY
  • Remote connections require completing OAuth and providing an FMP API key on first use
  • The server needs access to external financial data sources for market data, statements, and economic indicators
  • Requires a Firecrawl API key to call; cost and quota are governed by the Firecrawl account
  • firecrawl_agent/firecrawl_interact perform automated browser interaction, which may trigger login or form-submission flows on the target site
  • Requires an Exa API key for full functionality; OAuth login is optional in remote mode
  • web_fetch_exa retrieves content from a specified URL; agent_run performs multi-step autonomous actions and needs the user to have clear expectations of Agent behavior
Risks and side effects
  • Financial data comes from external providers, and the project does not take responsibility for its accuracy
  • Free plans impose limits on daily requests, data history, and exchange coverage
  • API rate limits, network conditions, or invalid keys can make retrieval fail or become slow
  • When Financial Modeling Prep retrieval fails, the default fallback to Yahoo Finance can change the data source
  • Bulk crawl/map tools can generate significant request volume against a target site — respect the site's rate limits and terms of service
  • firecrawl_agent's interactive action chain is longer — define task boundaries clearly before running it to avoid accidentally triggering actions on a sensitive site
  • The API key should be stored carefully — avoid leaving it in plaintext in client config files on untrusted machines
  • agent_run is a multi-step autonomous tool with a longer action chain — try it on low-risk tasks first
Supported clientsClaude Desktop, Claude.ai, Claude Code, VS Code, Cursor, WindsurfClaude Desktop, VS Code, Cursor, Windsurf, Zed, AmpClaude Desktop, Claude Code, VS Code, Cursor, Windsurf, Zed, Amp, Kiro, LM Studio, Antigravity
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