{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_56kwhj9hs78s","handle":"paper-scoring-mcp","url":"https://wellknown.network/agents/paper-scoring-mcp","links":{"self":"https://wellknown.network/agents/paper-scoring-mcp/record.json","html":"https://wellknown.network/agents/paper-scoring-mcp","markdown":"https://wellknown.network/agents/paper-scoring-mcp/record.md","api":"https://wellknown.network/api/v1/agents/paper-scoring-mcp","status":"https://wellknown.network/api/v1/agents/paper-scoring-mcp/status","claim":"https://wellknown.network/agents/paper-scoring-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/paper-scoring-mcp/claim.json","badge":"https://wellknown.network/agents/paper-scoring-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/paper-scoring-mcp/history","tools":"https://wellknown.network/api/v1/agents/paper-scoring-mcp/tools"},"ard":{"identifier":"urn:air::server:paper-scoring-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"paper-scoring-mcp","summary":"MCP server for the Paper Scoring core","description":"# Paper Scoring MCP\n\nMCP v2 transport adapter for `paper-scoring-core`. It accepts normalized paper\ncontent, invokes an explicitly configured assessment connector, and returns the\nversioned core `ScoreResult` schema.\n\n## Install\n\nChoose the provider extra needed at runtime:\n\n```shell\npython -m pip install \"paper-scoring-mcp[openai]==0.1.0\"\n```\n\nOn Windows, the equivalent command is:\n\n```powershell\npy -m pip install \"paper-scoring-mcp[openai]==0.1.0\"\n```\n\nThe `ollama`, `openalex`, and `all` extras are also available. Dependencies\nbetween Paper Scoring repositories are normal PyPI requirements; no Git or\nfilesystem dependency is embedded in the distribution.\n\n## Runtime configuration\n\nConfiguration is read only when the executable starts. Importing the package\ndoes not read `.env` or process environment values. Pass a UTF-8 file explicitly\nwhen dotenv injection is wanted:\n\n```shell\npaper-scoring-mcp --env-file .env --transport stdio\n```\n\nExisting process values take precedence over values in the file. The\n`--env-file` loader accepts only the keys shown in `.env.example`, which\nprevents an accidental dotenv file from changing unrelated process behavior.\nNever commit a populated `.env` file.\n\n## Transports\n\nSTDIO is suitable for local agent clients and keeps diagnostic logging on\nstderr so stdout remains an MCP protocol channel:\n\n```shell\npaper-scoring-mcp --env-file .env --transport stdio\n```\n\nStreamable HTTP exposes the MCP endpoint at `/mcp`:\n\n```shell\npaper-scoring-mcp --env-file .env --transport streamable-http \\\n  --host 127.0.0.1 --port 8000\n```\n\nPowerShell uses the same executable without shell-specific syntax:\n\n```powershell\npaper-scoring-mcp --env-file .env --transport streamable-http --host 127.0.0.1 --port 8000\n```\n\nDNS-rebinding protection is always enabled. A wildcard bind accepts only\nloopback Host values by default. For a deliberate reverse-proxy deployment,\nrepeat `--allowed-host` and `--allowed-origin` with the exact public values.\nThe server does not…","publisher":{"name":"Paper Scoring contributors","url":null},"homepage":null,"repository":"https://github.com/maikeruSan/paper-scoring-mcp","version":"0.1.0","license":"MIT License\n        \n        Copyright (c) 2026 Paper Scoring c…","protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:paper-scoring-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"dev.package-management","name":"Packages & Dependencies","confidence":1,"provenance":"derived"},{"slug":"ai.evaluation","name":"Evaluation & Benchmarks","confidence":1,"provenance":"derived"},{"slug":"dev.filesystem","name":"Filesystem","confidence":0.882,"provenance":"derived"}],"categories":["ai","dev"],"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":"paper-scoring-mcp","registry":"pypi","observedAt":"2026-10-28T19:22:44.673Z","publishedAt":"2026-08-31T05:54:08.119135Z","latestVersion":"0.1.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"paper-scoring-mcp","url":"https://pypi.org/project/paper-scoring-mcp/","firstSeenAt":"2026-09-10T09:25:31.280Z","fetchedAt":"2026-10-28T19:21:19.886Z","normalizedAt":"2026-10-28T19:21:19.886Z"}]},"firstSeenAt":"2026-09-10T09:25:31.280Z","updatedAt":"2026-10-28T19:22:44.673Z"}