The most accurate people search API/MCP. Natural language in, high-quality candidates out. Built for ATSs and AI Agents.
Project description
Pearch.ai MCP
Our people search API and MCP deliver the most precise results on the market. You simply ask in natural language, and we provide top-quality candidates. Designed for seamless integration with any ATS or hiring platform, our solution is backed by scientific methods, trusted by recruiters, and consistently rated the highest-quality sourcing tool.
Evaluating AI Recruitment Sourcing Tools by Human Preference
Prerequisites
- Python 3.7 or newer
- Pearch.ai API key
- FastMCP package
API Key Setup
- Visit Pearch.ai Dashboard to obtain your API key
- Set your API key as an environment variable:
export PEARCH_API_KEY='your-api-key-here'
Installation
Installing via Smithery
To install mcp_pearch for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @Pearch-ai/mcp_pearch --client claude
Option 1: macOS[uv]
# Install Python and uv
brew install python
brew install uv
# Create and activate virtual environment
uv venv
source .venv/bin/activate
# Install FastMCP
uv pip install fastmcp
Option 2: Linux[pip]
# Install system dependencies
sudo apt update
sudo apt install python3 python3-venv python3-pip
# Create and activate virtual environment
python3 -m venv .venv
source .venv/bin/activate
# Install FastMCP
pip install fastmcp
Usage
Standard Installation
fastmcp install pearch_mcp.py --name "Pearch.ai" --env-var PEARCH_API_KEY=pearch_mcp_key
Development Mode
For local development and testing:
# Set your API key
export PEARCH_API_KEY='your-api-key-here'
# Start development server
fastmcp dev pearch_mcp.py
Support
If you encounter any issues or have questions:
- Open an issue in the repository
- Contact support at f@pearch.ai
License
This project is licensed under the MIT License - see the LICENSE file for details.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file iflow_mcp_mcp_pearch-1.0.0.tar.gz.
File metadata
- Download URL: iflow_mcp_mcp_pearch-1.0.0.tar.gz
- Upload date:
- Size: 3.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.9.10 {"installer":{"name":"uv","version":"0.9.10"},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
945d389212dbc3ff07a207959be484322c3aa2450e172dfb109eb4801bd0c099
|
|
| MD5 |
2da34e7d11bf7aca62fc1530379becb5
|
|
| BLAKE2b-256 |
1a6fa94a573cf9de69b9139b7bef4d19c95affe47400ef6e77425c70e3c96805
|
File details
Details for the file iflow_mcp_mcp_pearch-1.0.0-py3-none-any.whl.
File metadata
- Download URL: iflow_mcp_mcp_pearch-1.0.0-py3-none-any.whl
- Upload date:
- Size: 3.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.9.10 {"installer":{"name":"uv","version":"0.9.10"},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5a9972580eca53c1bb21b1cd3e8e476da447c2eaece3a636b21acf329b0290be
|
|
| MD5 |
4d4b202c580eac9897c2d4a5fac60dd6
|
|
| BLAKE2b-256 |
c11397b0e23f3a15dd51d7044465893f56475e5e625ec731a949131b3af6c18b
|