I
imbenrabi/Financial-Modeling-Prep-MCP-Server
Market data from Financial Modeling Prep
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
- 复制上面的命令
- 粘成
claude_desktop_config.json里mcpServers的一项(本地服务器用 command + args,示例见 客户端接法) - 重启客户端
远端端点(Claude Desktop / Cursor / Windsurf 共用 mcpServers)
{
"mcpServers": {
"imbenrabi-financial-modeling-prep-mcp-se": {
"url": "https://financial-modeling-prep-mcp-server-production.up.railway.app/mcp"
}
}
}把这段粘进 Claude Desktop / Cursor 的 mcpServers 配置即可。端点来自公开证据,我们没有替你安装或托管它。 官方 Registry 记录:这个端点没有列出任何请求头。这不等于免密 —— 以项目文档为准。
VS Code(.vscode/mcp.json —— 键名是 servers,远程要 type: http)
{
"servers": {
"imbenrabi-financial-modeling-prep-mcp-se": {
"type": "http",
"url": "https://financial-modeling-prep-mcp-server-production.up.railway.app/mcp"
}
}
}VS Code 的配置文件和另外三家不同:顶层键是 <code>servers</code>,远程端点还要写 <code>"type": "http"</code>。复制到 .vscode/mcp.json。
Claude Code(命令行)
claude mcp add --transport http imbenrabi-financial-modeling-prep-mcp-se https://financial-modeling-prep-mcp-server-production.up.railway.app/mcp
Claude Code 不收 JSON 文件,用这条命令直接加。
客户端配置(取自该仓库的安装命令)
{
"mcpServers": {
"imbenrabi-financial-modeling-prep-mcp-se": {
"command": "npx",
"args": ["financial-modeling-prep-mcp-server"]
}
}
}解析自我们于 2026-11-06 抓取的该仓库 README;我们未执行过。
command/args 来自仓库写明的安装命令;不确定时请以该项目 README 为准。
VS Code(.vscode/mcp.json —— 键名是 servers)
{
"servers": {
"imbenrabi-financial-modeling-prep-mcp-se": {
"command": "npx",
"args": ["financial-modeling-prep-mcp-server"]
}
}
}VS Code 顶层键是 <code>servers</code>,其余与上面那份相同。
Claude Code(命令行)
claude mcp add --transport stdio imbenrabi-financial-modeling-prep-mcp-se -- npx financial-modeling-prep-mcp-server
Claude Code 不收 JSON 文件,用这条命令直接加。
配置项的键名以你的客户端为准:客户端与 CLI
- 来源明细
- 收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
- 收录与活跃
- 收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
- 评分构成
- 综合分 1,003 · 10 个来源 · mcp
- 安装
npx financial-modeling-prep-mcp-server
常见问题(答案都来自我们的记录)
怎么安装?
该仓库给出的安装命令是
npx financial-modeling-prep-mcp-server。我们的记录里它是仓库自己提供的;不保证在你的客户端上直接可用。它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-11-05;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
# Financial Modeling Prep MCP Server
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
A Model Context Protocol (MCP) server for the Financial Modeling Prep API, exposing 267 financial data tools to AI assistants.
## Features
267 Financial Tools across 24 toolsets — stocks, ETFs, crypto, forex, commodities, economics, and more
Dynamic Tool Management — built on toolception for runtime enable/disable of toolsets via meta-tools
Three Server Modes — Dynamic (5 meta-tools), Static (pre-loaded toolsets), or All Tools (default)
Flexible Deployment — use the hosted instance or self-host via npm, Docker (built from source), or source
Streamable HTTP Transport — compatible with Claude.ai, Claude Desktop, and MCP registries
## Quick Start
### Hosted Instance (Fastest)
No installation required. Connect directly:
https://financial-modeling-prep-mcp-server-production.up.railway.app/mcp
The hosted instance runs in Dynamic mode: it starts with 5 meta-tools that load toolsets on demand. Pass your FMP API key as FMPACCESSTOKEN in the ?config= session configuration (see Usage).
### Self-Hosted (One-Liner)
bash
npx financial-modeling-prep-mcp-server --fmp-token=YOURFMPAPIKEY
Or install globally:
bash
npm install -g financial-modeling-prep-mcp-server
fmp-mcp --fmp-token=YOURFMPAPIKEY
> Get your API key at financialmodelingprep.com.
## Table of Contents
Installation
Configuration
Usage
API Reference
Registries
Contributing
License
## Installation
Prerequisites: Node.js 25.3.0 or higher (for v2.6.0+). For older versions (v2.5.x and below), Node.js 20+ is required.
Choose the method that fits your workflow:
NPM — npm install -g financial-modeling-prep-mcp-server
Docker — build the image from source (no pre-built image is published)
Source — clone and run with npm install && npm run build
See docs/INSTALLATION.md for detailed steps per method.
## Configuration
The server supports three operational modes controlled via CLI arguments or environment variables:
| Mode | How to Enable | Description |
| Dynamic | DYNAMICTOOLDISCOVERY=true | Starts with 5 meta-tools; load toolsets at runtime |
| Static | FMPTOOLSETS=search,company | Pre-loads specified toolsets on session creation |
| All Tools (default) | (default) | Loads all 267 tools immediately |
Precedence: for mode and tool sets, CLI args > Environment variables > Defaults. A session ?config= token overrides the server's FMPACCESSTOKEN for that session.
See docs/CONFIGURATION.md for the full configuration reference.
## Usage
Connect to the server over streamable HTTP:
Claude.ai / Claude Desktop — add as a remote connector (Settings > Connectors)
Custom clients — POST to /mcp: send initialize first, then the mcp-session-id it returns on every later request
MCP registries — see Registries for where this server is listed
## Features
267 Financial Tools across 24 toolsets — stocks, ETFs, crypto, forex, commodities, economics, and more
Dynamic Tool Management — built on toolception for runtime enable/disable of toolsets via meta-tools
Three Server Modes — Dynamic (5 meta-tools), Static (pre-loaded toolsets), or All Tools (default)
Flexible Deployment — use the hosted instance or self-host via npm, Docker (built from source), or source
Streamable HTTP Transport — compatible with Claude.ai, Claude Desktop, and MCP registries
## Quick Start
### Hosted Instance (Fastest)
No installation required. Connect directly:
https://financial-modeling-prep-mcp-server-production.up.railway.app/mcp
The hosted instance runs in Dynamic mode: it starts with 5 meta-tools that load toolsets on demand. Pass your FMP API key as FMPACCESSTOKEN in the ?config= session configuration (see Usage).
### Self-Hosted (One-Liner)
bash
npx financial-modeling-prep-mcp-server --fmp-token=YOURFMPAPIKEY
Or install globally:
bash
npm install -g financial-modeling-prep-mcp-server
fmp-mcp --fmp-token=YOURFMPAPIKEY
> Get your API key at financialmodelingprep.com.
## Table of Contents
Installation
Configuration
Usage
API Reference
Registries
Contributing
License
## Installation
Prerequisites: Node.js 25.3.0 or higher (for v2.6.0+). For older versions (v2.5.x and below), Node.js 20+ is required.
Choose the method that fits your workflow:
NPM — npm install -g financial-modeling-prep-mcp-server
Docker — build the image from source (no pre-built image is published)
Source — clone and run with npm install && npm run build
See docs/INSTALLATION.md for detailed steps per method.
## Configuration
The server supports three operational modes controlled via CLI arguments or environment variables:
| Mode | How to Enable | Description |
| Dynamic | DYNAMICTOOLDISCOVERY=true | Starts with 5 meta-tools; load toolsets at runtime |
| Static | FMPTOOLSETS=search,company | Pre-loads specified toolsets on session creation |
| All Tools (default) | (default) | Loads all 267 tools immediately |
Precedence: for mode and tool sets, CLI args > Environment variables > Defaults. A session ?config= token overrides the server's FMPACCESSTOKEN for that session.
See docs/CONFIGURATION.md for the full configuration reference.
## Usage
Connect to the server over streamable HTTP:
Claude.ai / Claude Desktop — add as a remote connector (Settings > Connectors)
Custom clients — POST to /mcp: send initialize first, then the mcp-session-id it returns on every later request
MCP registries — see Registries for where this server is listed
收录徽章(可选)
想把收录标记放进 README 就复制这行,可选,不影响收录。
[](https://anclum.com/zh/s/imbenrabi-financial-modeling-prep-mcp-server/)
- 来源
- awesome · https://github.com/imbenrabi/Financial-Modeling-Prep-MCP-Server
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