$ loading_
Manage worker profiles, service records, trust scores, and references.
This MCP tool has sparse documentation, but it is an open-source MIT project with no required secrets and no declared remote endpoints, with no clear high-risk red flags in the provided materials. Caution is still warranted because it is flagged as executing code, and its described functionality involves profile and reputation data that should be verified for actual local execution and data access scope before deployment.
The materials explicitly state that no secrets or environment variables are required, and no API tokens, account credentials, or other sensitive authentication requirements are disclosed, so credential exposure appears limited.
No remote endpoints or external hosts are declared, and the materials do not show user data being sent to third-party services; based on the available information, there is no clear data egress path, though runtime verification is still advisable because the README is absent.
The objective checks flag it as executes-code, indicating the usual MCP ability to run code or start a local service process. This is a standard tool capability rather than a red flag by itself, and the provided materials do not show requests for system privileges beyond its stated purpose, but the real execution scope should be validated in a sandbox.
The description references worker profiles, verified service records, trust scores, and references, which implies handling profile and reputation-related data. The materials do not specify what local files or stores are read or written, so the scope is underdocumented and should be reviewed carefully for sensitive personal data handling and data minimization.
Positive factors include being open source, auditable, and MIT licensed; however, it comes from a third-party registry, has 0 stars, unknown maintenance status, and no README, which limits verifiability and maturity. There is not enough evidence for a high-risk rating, but supply-chain confidence is only moderate.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "sifa-mcp" yet — see the docs or source repo.
Use this MCP tool to look up a worker profile, including basic info, verified service records, trust score, and professional references, and present it in a concise table.
A complete worker profile summary for quick background verification.
Summarize a worker's skills passport, highlighting core skills, verified experience, reputation strengths, and suitable job directions.
A skills passport summary for hiring or mobility assessment.
Organize a worker's professional references and credibility details, explaining the source of each reference, verification status, and impact on professional reputation.
An analysis of references and credibility to assess collaboration risk.
Explore a developer’s profile, skills, and projects via natural language.
Generate trustworthy professional profiles from verified employee data in HCM systems.
Manage candidate profiles and job-search data through an MCP-enabled API.
Turn CVs and projects into MCP tools for querying and job matching.
Generate alternative credit scores from M-PESA behavior for adults without formal history.
Manage job application materials, fetch job postings, and prepare for interviews.