registry and knowledgebase-mcp

The Knowledgebase MCP server for biomedical agentic AI is designed to register with and be discovered via the BioContextAI Registry for biomedical MCP servers, making them complementary tools within the BioContextAI ecosystem.

registry
49
Emerging
knowledgebase-mcp
43
Emerging
Maintenance 10/25
Adoption 6/25
Maturity 15/25
Community 18/25
Maintenance 6/25
Adoption 6/25
Maturity 15/25
Community 16/25
Stars: 20
Forks: 14
Downloads: —
Commits (30d): 0
Language: Python
License: BSD-3-Clause
Stars: 20
Forks: 7
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
No Package No Dependents
No Package No Dependents

About registry

biocontext-ai/registry

The BioContextAI Registry for biomedical MCP servers

This registry helps biomedical researchers and clinicians discover relevant Model Context Protocol (MCP) servers. It takes in information about an MCP server for biomedical use and, upon approval, adds it to a curated, discoverable list. Scientists and healthcare practitioners looking for specialized tools for their research or clinical activities would use this.

biomedical-research clinical-activities scientific-tool-discovery open-source-tools

About knowledgebase-mcp

biocontext-ai/knowledgebase-mcp

BioContextAI Knowledgebase MCP server for biomedical agentic AI

This tool helps biomedical researchers, scientists, and drug developers accelerate their work by providing a unified access point to a wide range of biomedical databases and analysis tools. It takes research questions or tasks as input and provides verified information or executes domain-specific queries across sources like Antibody Registry, EuropePMC, KEGG, and AlphaFold DB. The primary users are researchers leveraging AI systems to explore complex biomedical data.

biomedical-research drug-discovery genomics proteomics scientific-literature-search

Related comparisons

registry and biomcp registry and biomcp

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