Developer tools · MCP server
Financial Modeling Prep (fmpsdk): MCP server
Financial Modeling Prep (fmpsdk) is an open-source MCP server published on GitHub that lets an AI agent retrieve quotes, financial statements and prices through Financial Modeling Prep. Its repository has 215 stars and its last commit is from August 29, 2026 and it is licensed under BSD-3-Clause.
| Adoption (stars) | 23/40 | |
|---|---|---|
| Maintenance | 25/30 | |
| Framework (licence, registry, official) | 15/30 |
What Financial Modeling Prep (fmpsdk) does
According to its repository: “Financial Modeling Prep API as MCP tools — quotes, statements, prices, and ~240 endpoints.”
The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Financial Modeling Prep (fmpsdk) is listed under Developer tools, a category of 475 servers in the directory, where it ranks #114 by stars.
Installing and connecting Financial Modeling Prep (fmpsdk)
Distribution modes declared in the official MCP registry:
- PyPI package (Python, started with
uvxorpip)
It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python.
The registry lists one secret variable to provide (API key, access token). Keep them in the client's environment variables, never in a shared file or a repository.
Security: what to check
Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.
Points found for Financial Modeling Prep (fmpsdk):
- Secrets: the server acts with your credentials. Create a dedicated key with minimum rights and an expiry date.
Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.
Project activity and maintenance
Created on December 6, 2020, the daxm/fmpsdk repository has 215 stars and 76 forks, with 0 open issues. It has more stars than 79% of the servers in the directory. Last change 2 months ago. Version published in the registry: 20260829.1 (August 29, 2026).
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Financial Modeling Prep (fmpsdk) is a reasonable choice; check the points below before connecting it.
Strengths
- Active project: recent commit
- Widely followed: 215 stars
- Listed in the official MCP registry
- Permissive licence (BSD-3-Clause)
Limitations
- Requires an API key or token
Avoid if…
- You do not want to give credentials to an agent
Alternatives
- Radar Kubernetes MCP Server3.9K ★
- Repowise7.9K ★
- Jscpd6.4K ★
- Apify MCP server12.9K ★
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- PostHog MCP Server40.4K ★
Learn more
Frequently asked questions
How do I install Financial Modeling Prep (fmpsdk)?
Financial Modeling Prep (fmpsdk) is distributed as PyPI package (Python, started with uvx or pip). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of daxm/fmpsdk.
Is Financial Modeling Prep (fmpsdk) free?
The code is published under the BSD-3-Clause licence and can be used free of charge. It needs an API key: the service it connects to may be paid.
Is Financial Modeling Prep (fmpsdk) safe?
Points to watch: secrets. Give it minimum rights and approve sensitive actions.
Is it an official server?
Nothing says so: it is a project published by daxm on GitHub. Check who maintains it before giving it access.
What are the alternatives to Financial Modeling Prep (fmpsdk)?
In the same category: Radar Kubernetes MCP Server, Repowise, Jscpd, and Apify MCP server. Radar Kubernetes MCP Server and Repowise score higher on our grid.
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