mcp server
Sema
MCP tools for Sema — eval, compile, build, format, and docs for a Lisp with LLM primitives.
Description as published by the maintainer. Source
- version 1.34.2
- active
- evaluation
active — Most recent push to the repository was 2026-08-04. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
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 | 28 | 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 | 2026-08-04 | 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 | 14 | 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 | 1.34.2 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-08-04 | 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 | 2026-08-04 | 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
-
Sounio Compiler
— last commit 2026-08-06, shares programming-language
Check, compile, run, and test Sounio programs locally.
-
Drengr
— last commit 2026-08-01, shares agentic-ai, rust
Eyes and hands for AI agents on Android and iOS devices.
-
io.github.Dakera-AI/dakera-mcp
— last commit 2026-07-31, shares agentic-ai, rust
Agent memory engine — 86 MCP tools, self-hosted, single Rust binary
-
ai.aliengiraffe/spotdb
— last commit 2026-08-05, shares agentic-ai, agents
Ephemeral data sandbox for AI workflows with guardrails and security
-
ai.nocturnus/logic-server
— last commit 2026-04-17, shares agentic-ai, agents
Agent reasoning, memory, and token-optimized context for AI applications.
-
com.stayker/1stay
— last commit 2026-08-03, shares agentic-ai, agents
Hotel booking MCP server. Search, book, and manage reservations across 250K+ properties worldwide.
-
feiskyer-claude-code-settings-brainstorming
— last commit 2026-07-27, shares agentic-ai, agents
Explore user intent, requirements, and design options through collaborative dialogue before implementation. Use before…
-
feiskyer-claude-code-settings-codex-skill
— last commit 2026-07-27, shares agentic-ai, agents
Leverage OpenAI Codex/GPT models for autonomous code implementation, code review, and plan review. Triggers: "codex", "…
-
feiskyer-claude-code-settings-deep-research
— last commit 2026-07-27, shares agentic-ai, agents
Multi-agent research orchestration: split a research goal into parallel sub-goals, run each via headless `claude -p` su…
-
feiskyer-claude-code-settings-github-fix-issue
— last commit 2026-07-27, shares agentic-ai, agents
Fix GitHub issues end-to-end — analysis, branch creation, implementation, testing, and PR submission. Use whenever the…
These share tags the maintainers applied themselves, such as programming-language, agentic-ai, rust, agents. 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, agents, ai, interpreter, lisp, llm, mcp-server, programming-language, rust.
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