"Meta" matching MCP servers:

Enables AI-assisted meta-analysis workflows following Cochrane methodological standards, including importing RevMan data, validation, meta-analysis, forest plots, publication bias assessment, and report generation.

Converts messy metabolite names into standard database identifiers (KEGG, HMDB, ChEBI, PubChem, InChIKey) and performs crosswalking to Mouse-GEM for metabolic model input, with deterministic tools and an LLM reasoning layer for identity disambiguation.

Enables querying of per-residue missense tolerance, Pfam domain annotations, and variant counts for human transcripts by wrapping the MetaDome web service. Provides MCP tools for resolving transcripts, requesting tolerance landscapes, and identifying constrained regions.

Provides access to Allen Institute for Neural Dynamics (AIND) metadata and data assets through MongoDB queries, aggregation pipelines, NWB file exploration, and AI-powered data summaries.

Enables querying the SymMap v2 Traditional Chinese Medicine association graph, covering herbs, ingredients, protein targets, symptoms, syndromes, and diseases with evidence-tiered relationships. It also supports plain-English questions through Pipeworx's ask_pipeworx meta-tool.

Enables AI agents to verify medical-record claims against synthetic FHIR evidence using a deterministic, non-AI verifier. Provides MCP tools for evidence retrieval, claim verification, and benchmark evaluation without requiring real patient data.

Provides access to EBI's MetaboLights metabolomics study repository via an MCP gateway, enabling querying and retrieval of metabolomics data.