Medical Research Toolkit

Query 14+ biomedical databases for drug repurposing, target discovery, clinical trials, and literature research. Access ChEMBL, PubMed, ClinicalTrials.gov, O...

MIT-0 · Free to use, modify, and redistribute. No attribution required.
3 · 1.4k · 14 current installs · 15 all-time installs
byPascal Bro@pascalwhoop
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Purpose & Capability
Name/description match the content: SKILL.md and reference files consistently document queries against many biomedical databases via a single unified MCP endpoint. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
All runtime instructions are curl/json-rpc examples that POST queries to https://mcp.cloud.curiloo.com/tools/unified/mcp (or optionally to a local 'medical-mcps' service). The instructions do not ask the agent to read local files or hidden credentials, but they do direct potentially sensitive query text to an external third-party endpoint — this is expected for the stated purpose but has privacy implications (do not send patient-identifiable data).
Install Mechanism
No install spec or code is included in the skill bundle (instruction-only). The SKILL.md mentions 'pip install medical-mcps' as a local option, but that is an external package installation separate from the skill; the skill itself writes nothing to disk.
Credentials
The skill declares no required environment variables or credentials. Where APIs require keys (OMIM, optional OpenFDA/NCI), the docs show passing them as API parameters; the requested access is proportionate to the documented APIs. No unrelated secrets are requested.
Persistence & Privilege
The skill does not request always:true or elevated persistent privileges, and it does not modify agent/system configs. It is user-invocable and may be called autonomously by the agent (normal default).
Assessment
This skill is documentation and curl examples for a third‑party unified biomedical API; it appears internally consistent with that purpose. Before using it, verify the external endpoint (https://mcp.cloud.curiloo.com) and the upstream source (README links to a GitHub repo) so you trust who will receive your queries. Never send patient‑identifiable information or sensitive clinical data to the public endpoint. If you prefer local control, inspect the 'medical-mcps' package source on PyPI/GitHub before installing and consider running the service locally behind your network controls. Note small doc inconsistencies (OpenTargets uses EFO vs MONDO ids in different files) — validate returned IDs when chaining lookups. If you need a higher assurance review, ask for the upstream service code or a signed API/owner identity before sending sensitive queries.

Like a lobster shell, security has layers — review code before you run it.

Current versionv1.0.0
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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

SKILL.md

Medical Research Toolkit

Query 14+ biomedical databases for drug repurposing, target discovery, clinical evidence, and literature research — all via a unified MCP endpoint.

⚡ 30-Second Start

# Find drugs for myasthenia gravis
curl -X POST https://mcp.cloud.curiloo.com/tools/unified/mcp \
  -H "Content-Type: application/json" -H "Accept: application/json" \
  -d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"chembl_find_drugs_by_indication","arguments":{"indication":"myasthenia gravis","max_results":10}},"id":1}'

That's it! You now have approved and investigational drugs for the disease.


Quick Recipes

Find Drugs for a Disease

curl -X POST https://mcp.cloud.curiloo.com/tools/unified/mcp \
  -H "Content-Type: application/json" -H "Accept: application/json" \
  -d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"chembl_find_drugs_by_indication","arguments":{"indication":"myasthenia gravis","max_results":20}},"id":1}'

Returns: Approved + investigational drugs with max phase reached

Find Disease Targets

# First: Find disease ID
curl -X POST https://mcp.cloud.curiloo.com/tools/unified/mcp \
  -H "Content-Type: application/json" -H "Accept: application/json" \
  -d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"opentargets_search","arguments":{"query":"myasthenia gravis","entity_type":"disease"}},"id":1}'

# Returns: disease ID (e.g., EFO_0004991)
# Then: Get targets
curl -X POST https://mcp.cloud.curiloo.com/tools/unified/mcp \
  -H "Content-Type: application/json" -H "Accept: application/json" \
  -d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"opentargets_get_associations","arguments":{"disease_id":"EFO_0004991","size":20}},"id":2}'

Returns: Top disease targets ranked by evidence strength (0-1 score)

Search Literature

curl -X POST https://mcp.cloud.curiloo.com/tools/unified/mcp \
  -H "Content-Type: application/json" -H "Accept: application/json" \
  -d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"pubmed_search_articles","arguments":{"diseases":["myasthenia gravis"],"keywords":["immunotherapy"],"max_results":20}},"id":1}'

Returns: PubMed articles on myasthenia gravis immunotherapy

Find Active Clinical Trials

curl -X POST https://mcp.cloud.curiloo.com/tools/unified/mcp \
  -H "Content-Type: application/json" -H "Accept: application/json" \
  -d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"ctg_search_studies","arguments":{"condition":"myasthenia gravis","recruitment_status":"RECRUITING","max_results":20}},"id":1}'

Returns: Actively recruiting trials for the disease

Check Drug Safety

curl -X POST https://mcp.cloud.curiloo.com/tools/unified/mcp \
  -H "Content-Type: application/json" -H "Accept: application/json" \
  -d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"openfda_search_adverse_events","arguments":{"drug_name":"eculizumab","limit":50}},"id":1}'

Returns: FDA adverse event reports—check for serious outcomes, death, hospitalization


What You Get

14+ Integrated Databases

DatabaseWhat's InsideUse For
ChEMBL2M drugs, bioactivity dataFinding approved/investigational drugs
OpenTargetsDisease-target links + evidenceIdentifying therapeutic targets
PubMed35M+ articles + preprintsLiterature review & validation
ClinicalTrials.gov400K+ active trialsFinding ongoing studies
OpenFDAAdverse events, drug labelsSafety assessment
OMIMGenetic diseases, genes → phenotypesUnderstanding disease genetics
ReactomePathways, protein interactionsMechanism understanding
UniProtProtein sequences, annotationsProtein properties
KEGGMetabolic & disease pathwaysSystems-level view
GWAS CatalogGenetic associationsVariant discovery
Pathway CommonsIntegrated pathway dataNetwork analysis
MyGene.infoGene annotationsID mapping
MyVariant.infoVariant effectsVariant interpretation
+ more

Use Cases

🧬 Drug Repurposing

Find non-standard-care drugs for rare/complex diseases:

  1. Find disease targets (OpenTargets)
  2. Search for drugs targeting those genes (ChEMBL)
  3. Check ongoing trials (ClinicalTrials)
  4. Verify safety (OpenFDA, PubMed)

🔬 Target Discovery

Identify novel therapeutic targets:

  1. Find disease associations (OpenTargets, GWAS)
  2. Get pathway context (Reactome, KEGG)
  3. Review literature (PubMed)
  4. Check protein properties (UniProt)

📋 Clinical Evidence Review

Compile evidence for a hypothesis:

  1. Search trials (ClinicalTrials.gov)
  2. Find literature (PubMed)
  3. Check FDA data (OpenFDA)

📊 Literature Mining

Systematically search biomedical research:

  1. PubMed: 35M+ articles searchable by gene, disease, drug, chemical
  2. Preprints: bioRxiv, medRxiv
  3. Filter by keywords, date, study type

API Endpoint

Production (No setup needed):

https://mcp.cloud.curiloo.com/tools/unified/mcp

All 14+ databases unified into one endpoint.

Running Locally:

pip install medical-mcps
medical-mcps
# Available at: http://localhost:8000/tools/unified/mcp

Complete References

See detailed guides for each database:


Workflow Example

Complete Drug Repurposing Pipeline:

See drug-repurposing-workflow.md for step-by-step example with all 8 steps + curl commands.


API Keys

Most APIs are free, no key required. Optional keys for higher rate limits:

DatabaseKey?WhyGet Key
ChEMBLNoPublic data(not needed)
OpenTargetsNoPublic data(not needed)
PubMedNoPublic data(not needed)
ClinicalTrialsNoPublic data(not needed)
OMIMYesProprietary datahttps://omim.org/api
OpenFDAOptionalHigher rate limitshttps://open.fda.gov
NCI Clinical TrialsOptionalHigher rate limitshttps://clinicaltrialsapi.cancer.gov

Rate Limits & Caching

  • No authentication for production endpoint (public)
  • Rate limits: Generous (~1000+ requests/day per database)
  • Caching: Automatic 30-day HTTP caching (RFC 9111)
  • Cost: $0 (all databases public or researcher-accessible)

Common Patterns

Batch Query Loop

# Search multiple targets
for gene in CHRNE RAPSN LRP4; do
  curl -X POST https://mcp.cloud.curiloo.com/tools/unified/mcp \
    -H "Content-Type: application/json" -H "Accept: application/json" \
    -d "{\"jsonrpc\":\"2.0\",\"method\":\"tools/call\",\"params\":{\"name\":\"chembl_find_drugs_by_target\",\"arguments\":{\"target_name\":\"$gene\",\"max_results\":10}},\"id\":1}"
  sleep 1  # Be nice to the API
done

ID Conversion

Need to convert IDs between databases?

curl -X POST https://mcp.cloud.curiloo.com/tools/unified/mcp \
  -H "Content-Type: application/json" -H "Accept: application/json" \
  -d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"nodenorm_get_normalized_nodes","arguments":{"curie":"HGNC:11998"}},"id":1}'

Returns: Equivalent IDs in NCBI Gene, Uniprot, Ensembl, MyGene, etc.


Troubleshooting

No results?

  • Try alternative terms (gene symbol vs protein name)
  • Check spelling
  • Use standardized IDs (gene symbols, disease names)
  • Some APIs use specific ID formats (EFO vs MONDO, etc.)

Too many results?

  • Add filters (max_results, phase, recruitment status)
  • Use limit or size parameters
  • Combine with other databases to narrow focus

API key errors?

  • OMIM requires API key — get from https://omim.org/api
  • Other databases optional — request key if hitting rate limits

Next Steps

  1. Pick a use case (drug repurposing, target discovery, etc.)
  2. Read the relevant database guide from References section
  3. Copy a quick recipe from above
  4. Customize parameters for your disease/gene/drug
  5. Scale up — build your full research workflow

Resources


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