{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_mycp3hvrtwrk","handle":"rplayground-mcp","url":"https://wellknown.network/agents/rplayground-mcp","links":{"self":"https://wellknown.network/agents/rplayground-mcp/record.json","html":"https://wellknown.network/agents/rplayground-mcp","markdown":"https://wellknown.network/agents/rplayground-mcp/record.md","api":"https://wellknown.network/api/v1/agents/rplayground-mcp","status":"https://wellknown.network/api/v1/agents/rplayground-mcp/status","claim":"https://wellknown.network/agents/rplayground-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/rplayground-mcp/claim.json","badge":"https://wellknown.network/agents/rplayground-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/rplayground-mcp/history","tools":"https://wellknown.network/api/v1/agents/rplayground-mcp/tools"},"ard":{"identifier":"urn:air::server:rplayground-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"rplayground-mcp","summary":"An MCP that lets the model transiently execute R code.","description":"# MCP R Playground\nAn MCP server that allows AI models to execute R code, see its results, and draw and observe plots. \nIt can be used for sophisticated agentic deployments, but also as a way to augment AI clients like Claude Desktop when talking to them about scientific papers. \n\n## Features:\n- Stateful sessions: each conversation thread gets a new session, but the session can persist across calss and user/assistant interactions. \n- Graphics output: multimodal models can draw plots using standard R libraries like ggplot, see those plots, and react to them.\n- *NO HOST ISOLATION*: while each session runs as a separate R environment, they have access to global dependencies and all files on the computer. While unlikely, a rogue model could write R code that deletes your important files.\n- Works in all common operating systems/architectures - Windows x64 / arm64, MacOS, Linux \n\n## Configuration\nCurrently there's just one configuration parameter that can be set as an environment variable:\n- `RPLAYGROUND_MCP_SUPPORT_IMAGE_OUTPUT`, default True. If set to False, image output will be disabled, and tool descriptions will be made to reflect that.\n\n## Installation\nBasic instructions for technical users:\n1) Have R installed, and the R_HOME environment variable set\n2) Have a recent version of the `uv` installed\n3) run `uvx --python=3.13 rplayground-mcp`, and it should just work.\n\n## Detailed Installation\nThis section is for less technical users who want to set up this MCP to use with Claude Desktop or similar AI user interfaces that support MCP extensions.\n\n### Windows\n- Make sure you have R installed. The recommended source is here https://cran.rstudio.com/ .\n- Make sure you have `uv` installed. `uv` is the project management tool for Python, the programming language this tool is written in. More detailed instructions can be found here https://docs.astral.sh/uv/getting-started/installation/#pypi, we provide the instructions for the most straightforward method:\n    1) Open the …","publisher":null,"homepage":null,"repository":null,"version":"0.1.2","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:rplayground-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","summary":"pypi","version":"pypi","description":"pypi"}},"derived":{"capabilities":[{"slug":"dev.package-management","name":"Packages & Dependencies","confidence":1,"provenance":"derived"},{"slug":"research.academic","name":"Academic Research","confidence":0.825,"provenance":"derived"}],"categories":["dev","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":"rplayground-mcp","registry":"pypi","observedAt":"2026-11-03T23:23:06.420Z","publishedAt":"2025-04-12T06:51:20.588929Z","latestVersion":"0.1.2"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"rplayground-mcp","url":"https://pypi.org/project/rplayground-mcp/","firstSeenAt":"2026-09-10T11:27:27.172Z","fetchedAt":"2026-11-03T23:22:36.409Z","normalizedAt":"2026-11-03T23:22:36.409Z"}]},"firstSeenAt":"2026-09-10T11:27:27.172Z","updatedAt":"2026-11-03T23:23:06.420Z"}