mcp server
ChatSpatial
Natural language-driven spatial transcriptomics analysis with 60+ methods via MCP
Description as published by the maintainer. Source
- version 1.2.10
- active
active — Most recent push to the repository was 2026-08-03.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 43 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-03 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 13 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.2.10 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-05-21 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-05-21 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
TrainTools
— last commit 2026-07-22, shares machine-learning, pytorch
Recommend paper-backed diagnostics for PyTorch and Hugging Face training problems.
-
io.github.berntpopp/genefoundry
— last commit 2026-08-01, shares bioinformatics, genomics
MCP gateway federating 21 biomedical MCP servers behind one endpoint: gnomAD, ClinVar, HPO, VEP.
-
io.github.cyanheads/ensembl-mcp-server
— last commit 2026-07-09, shares bioinformatics, genomics
Look up genes, fetch sequences, predict variant consequences, find orthologs and xrefs via Ensembl.
-
io.github.cyanheads/gnomad-genetics-mcp-server
— last commit 2026-07-30, shares bioinformatics, genomics
Look up allele frequencies by ancestry, gene constraint, variants, and coverage over gnomAD.
-
com.knitli/codeweaver
— archived, last commit 2026-06-16, shares llm-agent
Semantic code search built for AI agents. Hybrid, AST-aware, context for 166 languages.
-
KIAgent
— last commit 2026-08-05, shares llm-agent
Your mail, chats and documents indexed into a local SQLite corpus, served to AI clients over MCP.
-
Pickle
— last commit 2026-08-05, shares llm-agent
Free, local MCP server that audits ClickUp, Slack & Teams for work that slipped through.
-
Agent Coherence — Stale Write Guard (FS)
— last commit 2026-07-21, shares llm-agent
Coherence guard for shared files: denies stale writes so agents don't silently overwrite each other.
-
io.github.Anandb71/arbor
— last commit 2026-08-03, shares visualization
The Graph-Native Intelligence Layer for Code.
-
io.github.antvis/mcp-server-chart
— last commit 2026-05-06, shares visualization
A Model Context Protocol server for generating charts using AntV.
These share tags the maintainers applied themselves, such as machine-learning, pytorch, bioinformatics, genomics. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: agentic-ai, bioinformatics, cell-communication, claude-desktop, computational-biology, deconvolution, genomics, llm-agent, machine-learning, mcp-server, model-context-protocol, python, pytorch, scanpy, single-cell, spatial-analysis, spatial-domains, spatial-transcriptomics, squidpy, visualization.
Bring your own setup
We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.
Join ZBS AI Practice Lab