prospectio-api-mcp logo
prospectio-api-mcp
★ 21
vs
fastapi_mcp logo
fastapi_mcp
★ 12.0k

prospectio-api-mcp vs fastapi_mcp

prospectio-api-mcp: Prospectio MCP API is a FastAPI-based application that implements the Model Context Protocol (MCP) for lead prospecting. It follows Clean Architecture principles with persistent storage using PostgreSQL and pgvector. The application provides a three-phase contact enrichment process using Perplexity web search and DuckDuckGo to discover professional information, LinkedIn URLs, and biographical details.; fastapi_mcp: FastAPI-MCP allows you to expose your existing FastAPI endpoints as Model Context Protocol (MCP) tools. It offers native integration with FastAPI, including built-in authentication using existing dependencies, and preserves schemas and documentation.

01

TL;DR

prospectio-api-mcp logo
prospectio-api-mcpDev Tooling · ★ 21

Lead prospecting and contact enrichment for sales teams

fastapi_mcp logo
fastapi_mcpDev Tooling · ★ 12.0k
When to choose:
  • You already have a FastAPI application and want to expose its endpoints as MCP tools while reusing your existing FastAPI authentication dependencies and Swagger schemas.
  • You want to mount the MCP server directly onto your ASGI app or deploy it separately under an MIT license.
When to skip:
  • You are building a standalone MCP server from scratch rather than wrapping a FastAPI app; use FastMCP or the official MCP Python SDK.
  • You need an actively updated repository (last push was November 2025).
02

Side-by-Side Comparison

Field
prospectio-api-mcp logoprospectio-api-mcp
fastapi_mcp logofastapi_mcp
Category
Dev Tooling
Dev Tooling
Stars
★ 21
★ 12.0k
License
—
MIT
Install Command
cp .env.example .env && poetry install
uv add fastapi-mcp
Updated
7mo ago
11mo ago
Open Source
Yes
Yes
Tags
agentic-ai, ai, artificial-intelligence
FastAPI, MCP, Python
03

Features

prospectio-api-mcp logoprospectio-api-mcp
01Clean Architecture with separation of domain, application, and infrastructure layers
02Three-phase contact enrichment: web search for contact info, LinkedIn URL discovery, and biography gathering
03Persistent storage with PostgreSQL and pgvector for efficient lead and profile management
04Supports both REST API and MCP protocol for flexible integration
05Dependency injection and strategy pattern for pluggable data sources
fastapi_mcp logofastapi_mcp
01Authentication built in, using your existing FastAPI dependencies!
02FastAPI-native: Not just another OpenAPI -> MCP converter
03Zero/Minimal configuration required
04Preserving schemas of your request models and response models
05Flexible deployment - Mount your MCP server to the same app, or deploy separately
04

Use Cases

prospectio-api-mcp logoprospectio-api-mcp
↳Lead prospecting and contact enrichment for sales teams
↳Integration with MCP-compatible clients like Claude or Gemini for automated workflows
↳Building and maintaining a comprehensive leads database with enriched professional data
fastapi_mcp logofastapi_mcp
↳Integrating FastAPI services as tools for large language models (LLMs) that support MCP.
↳Enabling LLMs to interact with and utilize existing business logic and data exposed via FastAPI.
↳Quickly exposing authenticated FastAPI APIs as discoverable and usable tools within an MCP ecosystem.
05

Best For

prospectio-api-mcp logoprospectio-api-mcp
—
fastapi_mcp logofastapi_mcp
Most PopularEssential
FAQ

FAQ

What is the difference between prospectio-api-mcp and fastapi_mcp?
Both prospectio-api-mcp and fastapi_mcp are in the Dev Tooling category. prospectio-api-mcp has 21 stars, while fastapi_mcp has 12.0k stars.
Which is better, prospectio-api-mcp or fastapi_mcp?
The best choice depends on your use case. Choose prospectio-api-mcp if Lead prospecting and contact enrichment for sales teams, and fastapi_mcp if Integrating FastAPI services as tools for large language models (LLMs) that support MCP..
Is prospectio-api-mcp free or open source?
Yes, prospectio-api-mcp is open source on GitHub.
Is fastapi_mcp free or open source?
Yes, fastapi_mcp is open source on GitHub (MIT).
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