biomed-agent

A general-purpose biomedical knowledge assistant that connects to multiple local MCP biomedical data sources (OpenTargets, Monarch, MyGene, MyChem, MyDisease), routes questions to the appropriate tools, and synthesizes answers with metadata such as confidence, citations, and limitations. Provides both a CLI and a Streamlit UI.

Evaluated Mar 30, 2026 (21d ago)
Repo ↗ Ai Ml ai-agent biomedical-research bioinformatics drug-discovery mcp streamlit cli citing-sources pydantic
⚙ Agent Friendliness
46
/ 100
Can an agent use this?
🔒 Security
40
/ 100
Is it safe for agents?
⚡ Reliability
22
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
55
Documentation
70
Error Messages
0
Auth Simplicity
45
Rate Limits
20

🔒 Security

TLS Enforcement
40
Auth Strength
35
Scope Granularity
20
Dep. Hygiene
55
Secret Handling
55

Security posture is not fully described. The project uses environment variables (.env) for an API key, but there is no explicit mention of secret redaction/logging controls, TLS enforcement (especially since MCP servers are described as local), or fine-grained authorization. Because it orchestrates multiple external MCP sources and an LLM (via LangChain/OpenAI), prompt/tool-injection and data exfiltration risks depend heavily on the implementation of guardrails and on how tool results are handled and logged.

⚡ Reliability

Uptime/SLA
0
Version Stability
40
Breaking Changes
20
Error Recovery
30
AF Security Reliability

Best When

You have the relevant MCP biomedical servers running locally and want an agent-style orchestrator that aggregates tool outputs and returns traceable metadata (citations/limitations).

Avoid When

You need a turnkey hosted service, standardized HTTP/REST integration, or strong built-in authentication/authorization for external callers.

Use Cases

  • Biomedical literature/knowledge Q&A across multiple data sources
  • Entity lookups and cross-dataset synthesis (genes, diseases, targets, drugs)
  • Research/educational exploration where citations and uncertainty metadata are useful
  • Building an agentic workflow over biomedical MCP tools with a unified interface

Not For

  • Clinical decision-making, diagnosis, or treatment recommendations
  • Production systems requiring strict medical compliance guarantees
  • Use cases that require a hosted cloud API (the MCP servers are expected to be local/installed by the user)

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: Local MCP server connections (as configured by user) Environment-variable configuration via .env (API key mentioned, exact mechanism unspecified)
OAuth: No Scopes: No

README indicates an API key is configured in .env but does not describe auth flow, token handling, or scope granularity for callers. Since MCP servers are local/installed separately, auth controls likely depend on those MCP servers rather than this wrapper.

Pricing

Free tier: No
Requires CC: No

No pricing information provided; appears to be self-hosted/open-source tooling.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • Relies on external local MCP servers; availability/tool coverage and error semantics may vary by server.
  • Tool routing and synthesis may produce incomplete answers when the selected tools lack evidence; limitations metadata is intended to mitigate this but behavior is not fully specified.
  • Auth and rate-limit behavior are not described for the orchestrator; if underlying MCP servers have their own limits, the wrapper may need additional handling.

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Scores are editorial opinions as of 2026-03-30.

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