A side-by-side look at the HerStack and Biolit MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose HerStack for biology, medicine and bioinformatics work; choose Biolit for biology, medicine and bioinformatics as a local process. You can also run both side by side in one mcpServers block.
search_guidance, get_topic_guidance, recommend_supplements.ANTHROPIC_API_KEY, OPENAI_API_KEY, LLM_PROVIDER, LLM_MODEL, CORE_API_KEY, BIOLIT_CUSTOM_RESOLVERS.run_pipeline, fetch_pubmed_metadata, fetch_geo_record.Rows where the two servers differ are marked.
| Spec | H HerStack | |
|---|---|---|
| Category | Biology, Medicine and Bioinformatics | Biology, Medicine and Bioinformatics |
| Quality signal | 53/100 · Good | 53/100 · Good |
| Install command | Not confirmed yet | Confirmed |
| Transport | — | Local subprocess (stdio) |
| Auth | No auth required | Not declared |
| Pricing | Free | Not declared |
| Required env vars | None listed | ANTHROPIC_API_KEYOPENAI_API_KEYLLM_PROVIDER |
search_guidanceCall this first when a user describes their situation or asks a question in their own words (for example: 'I'm 47, tired all the time and bloated, what should I take?'). Searches all of HerStack's evidence-led guidance for UK women in midlife and returns the most relevant answer units (FAQ answers, research findings, evidence rows, product cards) with their page URLs, the best-matching topic, and that topic's named product recommendations from the site's reference brand, each with its authorised claim.get_topic_guidanceCall this when the user wants to understand a women's-health topic, not only buy something. Returns HerStack's expert guidance for one topic: plain-language framing, research findings, the evidence table with authorised claims, product criteria, and a FAQ that also explains the condition itself (for perimenopause: what it is, its timeline, when to see a GP).recommend_supplementsCall this when the user wants specific supplement product picks for a topic. Returns HerStack's named product recommendations from the site's reference brand, each with formulation rationale, the GB-authorised health claim verbatim (or a research-context note where none exists), price and purchase link. Provide a topic, or a concern in plain words that routes to one.get_evidenceCall this when the user (or you) wants the studies behind a recommendation or claim. Returns HerStack's evidence rows for a topic or nutrient with the cited studies resolved to PubMed and DOI identifiers, so the claim can be verified rather than trusted.get_product_detailsCall this for one specific product. Returns one HerStack-recommended product by name or SKU: form, authorised claim, tier, price, purchase link, and every topic that recommends it with the rationale.run_pipelineFetch, optionally screen, and optionally extract a mixed list of PMIDs, DOIs, and/or GEO accessions; write results CSV (and optionally a `.md` summary when `markdown=True`). Accepts `ids` (comma-separated), `bib_path` (`.bib` file), or `ids_file` (plain-text identifier file). Pass `sections` (comma…Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
No confirmed install command for HerStack yet — follow the setup steps linked from its listing page rather than a guessed package name.
{
"mcpServers": {
"biolit": {
"command": "uvx",
"args": [
"biolit"
],
"env": {
"ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY_HERE",
"OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE",
"LLM_PROVIDER": "YOUR_LLM_PROVIDER_HERE",
"LLM_MODEL": "YOUR_LLM_MODEL_HERE",
"CORE_API_KEY": "YOUR_CORE_API_KEY_HERE",
"BIOLIT_CUSTOM_RESOLVERS": "YOUR_BIOLIT_CUSTOM_RESOLVERS_HERE"
}
}
}
}
LLM_MODELCORE_API_KEYBIOLIT_CUSTOM_RESOLVERS| Verified owner | Community listing | Community listing |
|---|
| GitHub stars | 0 | 2 |
|---|
| Directory activity | 0 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
|---|
| Tools | 5 | 12 |
|---|
| Full listing | View HerStack | View Biolit |
|---|
fetch_pubmed_metadataFetch PubMed metadata by PMIDfetch_geo_recordFetch and parse a GEO record by accessionfetch_fulltextRetrieve full text for a PMID (6-step chain)fetch_geo_fulltextRetrieve full text for a GEO accession via its linked PMIDsfetch_supplementaryRetrieve & extract text from a paper's supplementary files (supplementary methods, tables) via Europe PMCscreen_paperLLM relevance screen given pre-fetched textextract_fieldsStructured field extraction given pre-fetched textresolve_doiResolve a DOI to PMID + PMCID via the NCBI ID Converterlookup_s2_pdfCheck whether Semantic Scholar has an open-access PDF for a DOIread_pmids_from_emlParse PMIDs from a PubMed alert `.eml` fileget_versionReturn the installed biolit package version