{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_3t9gyzzkgytg","handle":"academic-figures-mcp","url":"https://wellknown.network/agents/academic-figures-mcp","links":{"self":"https://wellknown.network/agents/academic-figures-mcp/record.json","html":"https://wellknown.network/agents/academic-figures-mcp","markdown":"https://wellknown.network/agents/academic-figures-mcp/record.md","api":"https://wellknown.network/api/v1/agents/academic-figures-mcp","status":"https://wellknown.network/api/v1/agents/academic-figures-mcp/status","claim":"https://wellknown.network/agents/academic-figures-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/academic-figures-mcp/claim.json","badge":"https://wellknown.network/agents/academic-figures-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json"},"ard":{"identifier":"urn:air::server:academic-figures-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"academic-figures-mcp","summary":"Academic figure agent harness for multi-step planning, generation, and evaluation through MCP","description":"# 🎨 Academic Figures MCP\n\n[![PyPI version](https://img.shields.io/pypi/v/academic-figures-mcp)](https://pypi.org/project/academic-figures-mcp/)\n[![VS Code Marketplace](https://img.shields.io/visual-studio-marketplace/v/u9401066.academic-figures-mcp)](https://marketplace.visualstudio.com/items?itemName=u9401066.academic-figures-mcp)\n[![CI](https://github.com/u9401066/academic-figures-mcp/actions/workflows/ci.yml/badge.svg)](https://github.com/u9401066/academic-figures-mcp/actions/workflows/ci.yml)\n[![License](https://img.shields.io/github/license/u9401066/academic-figures-mcp)](LICENSE)\n[![Python 3.10+](https://img.shields.io/pypi/pyversions/academic-figures-mcp)](https://pypi.org/project/academic-figures-mcp/)\n\n**A multi-step academic figure agent harness for AI agents and non-engineers.**\n\nAcademic Figures MCP is a workflow harness for multi-step academic reasoning and figure production. PMID ingestion is one structured entry point, but the real product value is helping an agent move through academic planning, concept decomposition, figure-type selection, prompt orchestration, image generation, evaluation, and iteration until it reaches a publication-grade result. Preprints, repositories, and freeform briefs are also first-class planning inputs. MCP exposure and VSX packaging make that workflow usable without requiring engineering-heavy setup.\n\n## One-Click Install (VS Code)\n\n> Requires [uv](https://docs.astral.sh/uv/getting-started/installation/). The install shape uses `uvx --from academic-figures-mcp afm-server`, which is shell-neutral across macOS, Linux, and Windows.\n\n[![Install in VS Code](https://img.shields.io/badge/VS%20Code-Install%20MCP%20Server-007ACC?style=for-the-badge&logo=visualstudiocode)](vscode:mcp/install?%7B%22name%22%3A%22academic-figures%22%2C%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22--from%22%2C%22academic-figures-mcp%22%2C%22afm-server%22%5D%7D)\n[![Install in VS Code Insiders](https://img.shields.io/badge/VS%20Code%20Insiders-Install…","publisher":null,"homepage":"https://github.com/u9401066/academic-figures-mcp","repository":"https://github.com/u9401066/academic-figures-mcp/blob/main/CHANGELOG.md","version":"0.4.6","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:academic-figures-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"research.academic","name":"Academic Research","confidence":1,"provenance":"derived"},{"slug":"knowledge.reasoning","name":"Reasoning & Planning","confidence":0.836,"provenance":"derived"}],"categories":["knowledge","research"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"academic-figures-mcp","registry":"pypi","observedAt":"2026-09-09T08:22:17.881Z","publishedAt":"2026-05-05T12:21:24.430478Z","latestVersion":"0.4.6"}},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"academic-figures-mcp","url":"https://pypi.org/project/academic-figures-mcp/","firstSeenAt":"2026-09-09T08:20:14.751Z","fetchedAt":"2026-09-09T08:20:14.751Z","normalizedAt":"2026-09-09T08:20:14.751Z"}]},"firstSeenAt":"2026-09-09T08:20:14.751Z","updatedAt":"2026-09-09T08:22:17.881Z"}