MCP server
MSPortfolio — MCP-Native Engineering Portfolio
io.github.ManSio/msp-portfolio
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
MCP server for Mikhail (ManSio)'s engineering portfolio: projects, principles, lab, evidence.
Working at last checkAbout 2,538 tokens per request once connected18 tools
https://msp-portfolio.mansio-dev.workers.dev/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 18
- Token cost
- About 2,538 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http msp-portfolio https://msp-portfolio.mansio-dev.workers.dev/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.msp-portfolio] url = "https://msp-portfolio.mansio-dev.workers.dev/mcp"
Gemini CLI
{"mcpServers":{"msp-portfolio":{"httpUrl":"https://msp-portfolio.mansio-dev.workers.dev/mcp"}}}
Cursor
{"mcpServers":{"msp-portfolio":{"url":"https://msp-portfolio.mansio-dev.workers.dev/mcp"}}}
VS Code
{"servers":{"msp-portfolio":{"type":"http","url":"https://msp-portfolio.mansio-dev.workers.dev/mcp"}}}
Antigravity
agy mcp add msp-portfolio https://msp-portfolio.mansio-dev.workers.dev/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"msp-portfolio","server_url":"https://msp-portfolio.mansio-dev.workers.dev/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"msp-portfolio","server_url":"https://msp-portfolio.mansio-dev.workers.dev/mcp"}
Tools
analyze_stack~119 tokens
Compare the owner's stack against a job's required skills. Returns per-skill match with evidence and coverage.get_antipatterns~93 tokens
Get the owner's antipattern museum — real engineering mistakes with why they were bad, how they were fixed, and the lesson. Read-only, closed world.get_articles~67 tokens
Get recent Dev.to articles with reading time, tags and links.get_commit_history~142 tokens
Get recent commit history across the owner's public repos. Reads the deployed snapshot and reports its `fetchedAt` and `ageMinutes`, so 'how current is this?' is answered by the payload instead of by trusting this description. Use it to answer 'what has he been building lately' or 'show the hardestget_diary~118 tokens
Get the owner's engineering diary — incidents, root causes, fixes and guards, each tagged with a pattern (NEW vs recurring). Use it to answer 'what broke and how did you fix it' or 'show your hardest debugging session'. Read-only, closed world.get_engineering_principles~75 tokens
Get engineering principles with real examples and A/B-style counterfactuals.get_experiments~129 tokens
Get the owner's engineering experiments — hypothesis, command, raw result and verdict (confirmed/refuted/partial) for each. Use it to answer 'what did you measure' or 'show me an experiment you ran'. Includes negative results (approaches that failed). Read-only, closed world.get_issue_detail~158 tokens
Get the full detail of a single known issue by its ID (e.g. 'KI-109'). Drills into one open problem: status, temperature, owner, linked source and the raw problem statement. Returns a clear not-found with the available IDs if the ID does not match. Read-only, closed world.get_known_issues~107 tokens
Get the owner's known-issues board — open debt with status, temperature (stable/watching) and deadlines. Use it to answer 'what's still broken' or 'what are you working on'. Read-only, closed world.get_profile~98 tokens
Get the owner's professional profile summary, plus nextSteps — concrete ways to continue (contact channels, GitHub, MCP connect). Use it as the first tool in an interview.get_projects~113 tokens
Get portfolio projects with stack, highlights, and decision logs. Optional filter by stack tag.get_timeline~60 tokens
Get the engineering decision timeline.search_projects~160 tokens
Free-text search across portfolio projects — name, tagline, description, stack and decision-log rationale. Returns matched projects with a score and the fields that matched. Use when a fixed stack-tag filter is too narrow (e.g. 'RAG', 'latency', 'Zed'). Read-only, closed world.simulate_architecture~188 tokens
Simulate how a project's architecture behaves under a scenario (load spike, node loss, cache cold, LLM saturation). Returns latency percentiles per load and bottleneck analysis.verify_article~207 tokens
Verify an article against the primary source (Dev.to): does the owner have a published article matching the query? Fetches the live Dev.to API for the owner's articles and returns the real title/date/reactions/url when found — or an honest 'not found'. Use it to ground claims like 'he wrote about agverify_claim~190 tokens
Ground a claim about the owner against the portfolio's data (profile, projects, principles, timeline, antipatterns, experiments, diary, known issues). Deterministic: returns the evidence records that support the claim (with source paths) and a supported verdict. Use it before asserting a fact aboutverify_package~193 tokens
Verify an npm package against the primary source (registry.npmjs.org): does it exist, latest version, publish date, description, license, maintainers — and is the owner among them? Use it to ground claims like 'he published an npm package' in the registry's data instead of the portfolio's. Honest 'nverify_repo~321 tokens
Verify a GitHub repository against the primary source: fetches the actual repo metadata (exists, language, description, topics, stars, last push) from the GitHub API and cross-checks it with the portfolio's project record when the repo is one of the owner's projects (language/stack agreement). With
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- GitHub tools
- GitHub and code hosting
- Memory for agents
- Searching your documents (RAG)
- Calling other AI models
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