Mosaic Pre-Clinical Intelligence

io.github.sourabhnk由 GitHub 账号 sourabhnk 发布v2.2.1更新于 Oct 25, 2026

Pre-clinical drug-target intelligence: 60 curated targets, 1,969 counted partner genes, 11 tools

发布方自己的服务：[PREPROD] Clinical.ly Research Suite

已验证STDIO仅桌面数据库 AI 与机器学习

服务详情

标识符: io.github.sourabhnk/mosaic-mcp
传输: STDIO
运行时: Desktop only
信任: Verified
发布于: Sep 16, 2026

安全提示

MCP 服务会接收对话中的工具调用请求，并可能执行外部操作。启用前请先了解该服务能做什么，并只授予它所需的权限。

注册中心已验证此条目所属的 GitHub 账号 sourabhnk。这并不表明该账号就是产品方。

SourceWeft 的检查只涵盖条目是否完整、端点是否响应；不审查服务器的代码，也不审查其工具的行为。

在 README 中添加徽章

向读者展示该 MCP 服务已收录于 SourceWeft，徽章链接到本页。

[![Listed on SourceWeft](https://sourceweft.com/badge/mcp/io.github.sourabhnk%2Fmosaic-mcp.svg)](https://sourceweft.com/mcp/io.github.sourabhnk%2Fmosaic-mcp?utm_source=readme&utm_medium=badge)

概览

AI 生成的概览

本地 MCP 服务器，基于你自己的 PostgreSQL Mosaic 数据库回答临床前药物靶点问题，含 5 个免费和 6 个 Pro 工具。

可以做什么: 查询靶点档案、具有实测活性的化合物、相关论文和 AlphaFold 结构，每项都带覆盖状态，缺失数据不会显示为零。对任意人类基因符号查看覆盖网格，身份与结构实时解析。启用 Pro 后可查看临床试验、实验验证先例、通路背景及靶点的一跳网络。评估合成致死空白区和候选耐药旁路靶点。免费调用最多返回 10 条化合物或论文，Pro 最多 50 条。
适用场景: 当你已拥有带 Mosaic schema 的 PostgreSQL 实例，并希望助手通过 stdio 在本地查询药物靶点情报时使用。它不是 Mosaic 精选数据的来源；README 指出这类数据需使用另一个托管服务器。
运行要求: 本地 Python 运行环境（pip、uvx 或 python -m），以及 DATABASE_URL 中的 PostgreSQL 或 Neon 连接字符串，须以 /mosaic_db 结尾并包含 Mosaic schema。可选 MOSAIC_TIER 和 MOSAIC_API_KEY。仅支持 stdio，本包未实现远程传输。

安装前请注意

DATABASE_URL 是含凭据的机密连接字符串，且为必填。MOSAIC_API_KEY 不在本地校验：stdio 模式下任何值都被视为 Pro，因此层级限制不会生效。本包只提供查询，不含数据，也不提供共享只读实例。档案工具仅在托管服务器上可用。

安装

在 SourceWeft 中

打开控制台中的 Mosaic Pre-Clinical Intelligence，将其添加到工作区。
为需要使用其工具的对话启用该服务。

Desktop only，通过 STDIO。 STDIO 服务会启动本地进程，因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照仓库中的启动说明。

README

mosaic-mcp

Pre-clinical drug-target intelligence as an MCP server: target profiles, compounds, literature, structure, clinical pipeline, validation precedent and whitespace analysis — 11 tools, 5 free and 6 Pro. Every count carries a coverage state, so "we did not look" never renders as zero.

Which one do you want?

This package is bring-your-own-database. It is the MCP tool layer only — it ships the queries, not the data. You point it at a PostgreSQL instance you control, with the Mosaic schema, and it serves the tools over it. There is no public read-only credential for Mosaic's knowledge graph.

If you want Mosaic's curated knowledge graph — 60 oncology targets, ~128K compounds linked to them, 57,896 papers and 9,062 clinical trials (counted 2026-10-07), refreshed monthly — use the hosted server. It needs no database and no local install:

Claude.ai connector (OAuth, Streamable HTTP): https://mcp.getmosaic.dev/mcp
Remote MCP with an API key (SSE): https://mcp.getmosaic.dev/sse
Sign in, API keys and on-demand dossiers for any human gene: https://getmosaic.dev

Quick start (self-hosted)

With Claude Desktop

Add to your claude_desktop_config.json:

json

{  "mcpServers": {    "mosaic": {      "command": "mosaic-mcp",      "env": {        "DATABASE_URL": "postgresql://USER:PASSWORD@YOUR-HOST:5432/mosaic_db?sslmode=require"      }    }  }}

{  "mcpServers": {    "mosaic": {      "command": "mosaic-mcp",      "env": {        "DATABASE_URL": "postgresql://USER:PASSWORD@YOUR-HOST:5432/mosaic_db?sslmode=require"      }    }  }}

With Claude Code

Standalone

bash

export DATABASE_URL="postgresql://..."   # your own Postgresmosaic-mcp                               # stdio transport

export DATABASE_URL="postgresql://..."   # your own Postgresmosaic-mcp                               # stdio transport

uvx mosaic-mcp and python -m mosaic_mcp.server work too. This package is stdio-only: --transport sse exits with NotImplementedError, because remote transport is the hosted server above.

Tools

Free (5)

Tool	What it returns
`mosaic_get_target_profile`	The target dossier: biology, approved and clinical drugs, disease associations ranked by Open Targets, validation evidence, organisations, scores — each axis with its coverage state
`mosaic_get_target_compounds`	Compounds with measured activity on the target; `sort` by potency (default) or by max clinical phase
`mosaic_get_target_papers`	Papers about the target, matched by NCBI Gene ID (PubTator3) where your database has the annotations, up to the declared corpus cutoff
`mosaic_get_target_structure`	AlphaFold structural snapshot and pockets, with a caution when a pocket is lined by low-confidence residues
`mosaic_get_coverage_grid`	A coverage grid for any human gene symbol: identity (HGNC) and structure (AlphaFold DB) resolve live; the other axes are marked `queued`

Free calls return up to 10 compounds or papers; Pro up to 50.

Pro (6)

Tool	What it returns
`mosaic_clinical_pipeline`	Clinical trials for compounds acting on the target (a ChEMBL mechanism link or pChEMBL ≥ 6)
`mosaic_target_validation`	Assay precedent: what has been tried, in what model system
`mosaic_pathway_context`	The pathways the target sits in
`mosaic_target_network`	The target's 1-hop neighbourhood: compounds, diseases, pathways, organisations, interacting proteins
`mosaic_synthetic_lethal_whitespace`	Partners functionally coupled to the target with little drug activity — assessed candidates and unassessed partners kept apart
`mosaic_resistance_bypass_map`	Candidate resistance-bypass and escape targets

mosaic_request_dossier and mosaic_get_dossier (on-demand dossiers) run only on the hosted server; they need its fetch and synthesis pipeline.

Configuration

Variable	Required	Description
`DATABASE_URL`	Yes	PostgreSQL connection string for your own instance; the path must name the database that holds the Mosaic schema.
`MOSAIC_TIER`	No	`pro` (or `enterprise`) enables the Pro tools in a self-hosted install.
`MOSAIC_API_KEY`	No	In stdio mode any value is treated as Pro; it is not checked locally. Keys are validated by the hosted server.

Changelog

Full history in CHANGELOG.md. Latest: 2.1.1 — the mosaic-mcp command starts again (it had failed with ImportError since 1.7.0). 2.1.0 capped mcp below 2, without which a fresh install died on import, and carried the fixes from a live audit of the hosted server.