frontmcp-extensibility
frontmcp-extensibility is an MCP server development skill for AI agents, published by agentfront in the frontmcp repository on GitHub. Skillspace rates frontmcp-extensibility C (73/100) and it passed the safety scan; the rating is based on static analysis only.
Use when extending FrontMCP beyond the core SDK by integrating external npm packages, libraries, or third-party services into providers and tools. Covers VectoriaDB for in-memory semantic and vector search (ML-based embeddings or TF-IDF keyword engines, with persistence) and the tamper-evident, hash-chained skill audit log (pluggable signer and store, with chain verification). Triggers: add semantic search, vector search, embeddings, similarity search, recommendations, ML features, audit logging, or integrate an external library, database, or API beyond the built-in SDK.
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 145
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.