Point the GreenCalculus entry at the MCP server, not the client SDK

greencalculus-sdk is a client library — Python and JS wrappers for the
REST API. It is not an MCP server, so the entry described the wrong
artifact: nothing in that repo starts, and nothing in it answers an
introspection request.

jeremiahsay/greencalculus-mcp is the actual server. It runs over stdio
via npx or Docker, bridging to the hosted endpoint, and its CI builds the
image and drives tools/list through it on every push.

Also corrects the tool count, which was ten and is now eleven, and moves
the line into alphabetical position — it had been left at G from when the
entry was named "GreenCalculus" rather than owner/repo.
This commit is contained in:
Jeremiah Say
2026-08-21 09:23:30 +08:00
parent 064efb3de4
commit 52505bce14
+1 -1
View File
@@ -1031,8 +1031,8 @@ Data Platforms for data integration, transformation and pipeline orchestration.
- [flexorch/flexorch-mcp](https://github.com/flexorch/flexorch-mcp) [![flexorch/flexorch-mcp MCP server](https://glama.ai/mcp/servers/flexorch/flexorch-mcp/badges/score.svg)](https://glama.ai/mcp/servers/flexorch/flexorch-mcp) 🐍 ☁️ 🏠 🍎 🪟 🐧 - Convert unstructured business documents (PDF, DOCX, invoices, contracts, payroll) into structured, LLM-ready datasets with automatic classification, field extraction, PII masking (10+ locales), and quality scoring. 6 async MCP tools covering the full pipeline: submit → poll → extract → build → export JSONL/RAG/CSV. Install: `pip install flexorch-mcp`. - [flexorch/flexorch-mcp](https://github.com/flexorch/flexorch-mcp) [![flexorch/flexorch-mcp MCP server](https://glama.ai/mcp/servers/flexorch/flexorch-mcp/badges/score.svg)](https://glama.ai/mcp/servers/flexorch/flexorch-mcp) 🐍 ☁️ 🏠 🍎 🪟 🐧 - Convert unstructured business documents (PDF, DOCX, invoices, contracts, payroll) into structured, LLM-ready datasets with automatic classification, field extraction, PII masking (10+ locales), and quality scoring. 6 async MCP tools covering the full pipeline: submit → poll → extract → build → export JSONL/RAG/CSV. Install: `pip install flexorch-mcp`.
- [flowcore/mcp-flowcore-platform](https://github.com/flowcore-io/mcp-flowcore-platform) 🎖️ 📇 ☁️ 🏠 - Interact with Flowcore to perform actions, ingest data, and analyse, cross reference and utilise any data in your data cores, or in public data cores; all with human language. - [flowcore/mcp-flowcore-platform](https://github.com/flowcore-io/mcp-flowcore-platform) 🎖️ 📇 ☁️ 🏠 - Interact with Flowcore to perform actions, ingest data, and analyse, cross reference and utilise any data in your data cores, or in public data cores; all with human language.
- [FreelexHo/power-bi-mcp](https://github.com/FreelexHo/power-bi-mcp) [![FreelexHo/power-bi-mcp MCP server](https://glama.ai/mcp/servers/FreelexHo/power-bi-mcp/badges/score.svg)](https://glama.ai/mcp/servers/FreelexHo/power-bi-mcp) 🐍 ☁️ 🪟 🍎 🐧 - Power BI MCP server with device code auth, enhanced refresh (table-level polling with retry), refresh diagnostics with root-cause error catalog, DAX queries with RLS simulation, PBIP source locating, and scheduled refresh reports. - [FreelexHo/power-bi-mcp](https://github.com/FreelexHo/power-bi-mcp) [![FreelexHo/power-bi-mcp MCP server](https://glama.ai/mcp/servers/FreelexHo/power-bi-mcp/badges/score.svg)](https://glama.ai/mcp/servers/FreelexHo/power-bi-mcp) 🐍 ☁️ 🪟 🍎 🐧 - Power BI MCP server with device code auth, enhanced refresh (table-level polling with retry), refresh diagnostics with root-cause error catalog, DAX queries with RLS simulation, PBIP source locating, and scheduled refresh reports.
- [jeremiahsay/greencalculus-sdk](https://github.com/jeremiahsay/greencalculus-sdk) ☁️ - Sourced greenhouse-gas emission factors and audit-traced carbon calculations (activity, embodied EN 15978, PCAF financed emissions) for AI agents — every value returns with its exact source cell and data version, so answers are citable and reproducible. 13,000+ factors, 10 tools. Remote at https://mcp.greencalculus.com (Bearer key, free tier). Listed on the official MCP registry as `com.greencalculus/api`.
- [Hug0x0/mcp-reunion](https://github.com/Hug0x0/mcp-reunion) [![Hug0x0/mcp-reunion MCP server](https://glama.ai/mcp/servers/Hug0x0/mcp-reunion/badges/score.svg)](https://glama.ai/mcp/servers/Hug0x0/mcp-reunion) 📇 ☁️ 🍎 🪟 🐧 - 96 tools across 21 modules for La Réunion (French overseas region) open data: economy, demographics, geography, transport, health, education, elections, tourism, housing, environment, and more. Powered by data.regionreunion.com and data.gouv.fr. Install: `npx -y mcp-reunion`. - [Hug0x0/mcp-reunion](https://github.com/Hug0x0/mcp-reunion) [![Hug0x0/mcp-reunion MCP server](https://glama.ai/mcp/servers/Hug0x0/mcp-reunion/badges/score.svg)](https://glama.ai/mcp/servers/Hug0x0/mcp-reunion) 📇 ☁️ 🍎 🪟 🐧 - 96 tools across 21 modules for La Réunion (French overseas region) open data: economy, demographics, geography, transport, health, education, elections, tourism, housing, environment, and more. Powered by data.regionreunion.com and data.gouv.fr. Install: `npx -y mcp-reunion`.
- [jeremiahsay/greencalculus-mcp](https://github.com/jeremiahsay/greencalculus-mcp) 🎖️ 📇 ☁️ - Sourced greenhouse-gas emission factors and audit-traced carbon calculations (activity, embodied EN 15978, PCAF financed emissions) — every value returns with its exact source cell and data version, so answers are citable and reproducible. 13,000+ factors, 11 tools. Install: `npx -y greencalculus-mcp`, or connect remotely at https://mcp.greencalculus.com. Free tier, no card.
- [JordiNei/mcp-databricks-server](https://github.com/JordiNeil/mcp-databricks-server) 🐍 ☁️ - Connect to Databricks API, allowing LLMs to run SQL queries, list jobs, and get job status. - [JordiNei/mcp-databricks-server](https://github.com/JordiNeil/mcp-databricks-server) 🐍 ☁️ - Connect to Databricks API, allowing LLMs to run SQL queries, list jobs, and get job status.
- [jwaxman19/qlik-mcp](https://github.com/jwaxman19/qlik-mcp) 📇 ☁️ - MCP Server for Qlik Cloud API that enables querying applications, sheets, and extracting data from visualizations with comprehensive authentication and rate limiting support. - [jwaxman19/qlik-mcp](https://github.com/jwaxman19/qlik-mcp) 📇 ☁️ - MCP Server for Qlik Cloud API that enables querying applications, sheets, and extracting data from visualizations with comprehensive authentication and rate limiting support.
- [keboola/keboola-mcp-server](https://github.com/keboola/keboola-mcp-server) 🐍 - interact with Keboola Connection Data Platform. This server provides tools for listing and accessing data from Keboola Storage API. - [keboola/keboola-mcp-server](https://github.com/keboola/keboola-mcp-server) 🐍 - interact with Keboola Connection Data Platform. This server provides tools for listing and accessing data from Keboola Storage API.