ChemBL MCP Server

by EazyAl

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Description

# BioContext - MCP Framework and Servers A project implementing Anthropic's Model Context Protocol (MCP) to integrate various scientific data sources, guided by the concept of a Biological Context Protocol (BCP). ## Description This repository contains: 1. An open-source…

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# BioContext - MCP Framework and Servers A project implementing Anthropic's Model Context Protocol (MCP) to integrate various scientific data sources, guided by the concept of a Biological Context Protocol (BCP). ## Description This repository contains: 1. An open-source framework (`framework/`) for combining multiple…

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Author
EazyAl
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238
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Install project dependencies with pip install -r requirements.txt, then see the README.md file inside the ChemBL MCP Server directory in servers/ for setup and running instructions.

BioContext - MCP Framework and Servers

A project implementing Anthropic's Model Context Protocol (MCP) to integrate various scientific data sources, guided by the concept of a Biological Context Protocol (BCP).

Description

This repository contains: 1. An open-source framework (framework/) for combining multiple MCP servers, enabling a unified interface to biological data sources (BCP concept). 2. Implementations of MCP servers (servers/) for specific scientific REST APIs, allowing language models to interact with them effectively using the BioContext framework.

Project Structure

- README.md: This file.
- framework/: Contains the source code and documentation for the BioContext framework.
- servers/: Contains individual MCP server implementations for different REST APIs.
- requirements.txt: Project dependencies.

Getting Started

1. Install dependencies:

    pip install -r requirements.txt

2. Install the framework (optional, for development):
    pip install -e framework/

3. Explore specific servers: See the README.md file within each directory in servers/ for instructions on setting up and running individual MCP servers.

Contributing

Contributions are welcome! Please follow standard practices (fork, branch, pull request).
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