The request names only "gersemi", which is not a product in the sources. None of the candidate pages mentions it, so no product can be matched to the name. Listed below are the candidates for a neutral search, but the closest matching tool for "gersemi" cannot be identified from these sources.
A question back: Could you tell me what "gersemi" is, for example a Python formatter, a library, or a company, so I can find the right tool?
- 1
- 2
GitHubgithub.comverified and signed
A developer platform offering a CLI, a GitHub MCP server, and skills for codebase work, with agent skills such as acquire-codebase-knowledge and git-commit 212.
official:CLI · github-mcp-serverskill · add-community-extensionskill · git-commitskill · acquire-codebase-knowledge+2,563 community tools built for it
for agents: snowflake-semanticview · semantic-kernel · powerbi-modeling
- 3
Semgrep App Security Platformsemgrep.devverified and signed
An application security platform that scans source code for vulnerabilities with SAST, SCA and secrets detection, with a Semgrep scan action 616. Its MCP servers are deprecated 616.
+4 community tools built for it
for agents: semgrep · semgrep · deprecation_notice
Sources
- 1Replicate - Run AI with an APIreplicate.com · read 2026-10-29
- 2GitHub · Change is constant. GitHub keeps you ahead. · GitHub · GitHubgithub.com · read 2026-10-29
- 6Semgrep App Security Platform | AI-assisted SAST, SCA and Secrets Detectionsemgrep.dev · read 2026-10-29
- 11google-deepmind/gemma-3-27b-it: declares "google-deepmind/gemma-3-27b-it" (the record we read and signed)unfragile.ai · read 2026-10-24
- 12snowflake-semanticview: declares "snowflake-semanticview" (the record we read and signed)unfragile.ai · read 2026-10-24
- 16semgrep: declares "semgrep" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
google-deepmind/gemma-3-27b-it · google-deepmind/gemma-3-27b-it verified and signed
Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.
zsxkib/embedding-gemma-300m · zsxkib/embedding-gemma-300m verified and signed
Turn any text into 768-dimensional vectors for search, classification, and AI apps 🧠✨
snowflake-semanticview · snowflake-semanticview verified and signed
Create, alter, and validate Snowflake semantic views using Snowflake CLI (snow). Use when asked to build or troubleshoot semantic views/semantic layer definitions with CREATE/ALTER SEMANTIC VIEW, to validate semantic-view DDL against Snowflake via CLI, or to guide Snowflake CLI installation and conn
gemini · gemini verified and signed
Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.
google/gemini-3-pro · google/gemini-3-pro verified and signed
Google's most advanced reasoning Gemini model
· async-std website read, tools not yet checked
A Rust library for easy and understandable async programming
google/gemini-2.5-flash-image · google/gemini-2.5-flash-image verified and signed
Google's latest image generation model in Gemini 2.5
· Cons website read, tools not yet checked
semgrep · semgrep verified and signed
Run Semgrep static analysis scans and create custom detection rules. Use when asked to scan code with Semgrep, find security vulnerabilities, write custom YAML rules, or detect specific bug patterns. IMPORTANT: Also use this skill when users ask to 'scan for bugs', 'check code quality', 'find vulner
google/gemini-3-flash · google/gemini-3-flash verified and signed
Google's most intelligent model built for speed with frontier intelligence, superior search, and grounding
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.