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Esg Hub MCP Server

Developer ToolsLow Risk9.7MCP RegistryLocalRemote
Free

Server data from the Official MCP Registry

ESG knowledge base for AI agents: hybrid search, glossary, frameworks, industries, graph traversal.

About

ESG knowledge base for AI agents: hybrid search, glossary, frameworks, industries, graph traversal.

Remote endpoints: streamable-http: https://esg-hub.ascent.partners/api/mcp

Security Report

9.7
Low Risk9.7Low Risk

Valid MCP server (2 strong, 2 medium validity signals). No known CVEs in dependencies. ⚠️ Package registry links to a different repository than scanned source. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.

15 tools verified · Open access · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Documentation

View on GitHub

From the project's GitHub README.

ESG Hub

An open-access encyclopedia of Environmental, Social, and Governance (ESG) knowledge by Ascent Partners Foundation — 350+ articles, 240+ curated resources, books, courses, AI search, a public REST API, and an MCP server. Available in English, Chinese, and Hindi.

Deploy to Vercel MCP Registry Glama License: MIT (code) Content: CC BY-SA 4.0

Live site: esg-hub.ascent.partners

Overview

  • Knowledge base — 350+ ESG articles across standards (GRI, IFRS S1/S2, TCFD, TNFD, ESRS), regulations, frameworks, ratings, and regional (HK/APAC) guidance
  • AI search — ask questions in natural language; answers grounded in the knowledge base (SurrealDB BM25 + vector search, DeepSeek, Brave Search across authoritative ESG domains)
  • Public REST API — open access to all content: /api/v1
  • MCP server — connect AI agents directly: @esg-hub/mcp-server
  • Learning resources — free courses, books, and a curated video library
  • i18n — English, Chinese, Hindi

Architecture

flowchart TB
  U["User / AI agent"] --> WEB["Next.js 15 App Router · React 19<br/>next-intl (en / zh / hi)"]
  WEB --> DB[("SurrealDB Cloud<br/>BM25 + vector search")]
  WEB --> AI["DeepSeek + Brave Search<br/>grounded answers"]
  WEB --> API["Public REST API · /api/v1"]
  API --> MCP["MCP server<br/>@simonmak-ascent/esg-hub-mcp"]
  V["Vercel"] --> WEB

How a query is answered

sequenceDiagram
  autonumber
  actor U as User
  participant W as Next.js app (App Router)
  participant API as /api/ai-search · /api/ai-chat
  participant S as search.ts
  participant DB as SurrealDB (page · section · embedding)
  participant AI as DeepSeek
  participant X as Brave / OpenAlex
  U->>W: ask a question
  W->>API: POST query (+ locale)
  API->>S: search(query)
  S->>DB: BM25 keyword + vector (embedding) hybrid ranking
  DB-->>S: ranked pages / sections + citations
  API->>AI: synthesize answer from ranked context
  API->>X: enrich (web + research)
  X-->>API: references
  API-->>W: streamed answer + citations
  W-->>U: grounded response

Data model

erDiagram
  PAGE ||--o{ SECTION : contains
  SECTION ||--o{ EMBEDDING : "vectorised as"
  FRAMEWORK ||--o{ PAGE : classifies
  INDUSTRY ||--o{ PAGE : tags
  TERM ||--o{ PAGE : defines
  PAGE {
    string id
    string slug
    string title
    string lang
  }
  SECTION {
    string id
    string heading
    text body
  }
  EMBEDDING {
    vector vector
    string model
  }

FRAMEWORK, INDUSTRY and TERM are the facets exposed by the /api/v1/* REST resources; page, section and embedding are the core SurrealDB tables.

Deployment

flowchart LR
  DEV["git push / PR"] --> CI["GitHub Actions<br/>lint · test · e2e · health-check"]
  CI --> PREV["Vercel Preview deployment"]
  PREV -->|merge to main| PROD["Vercel Production<br/>esg-hub.ascent.partners"]
  PROD --> SURF["/api/mcp · /api/v1<br/>MCP + REST surfaces"]

Tech Stack

Next.js 15 (App Router, React 19) · SurrealDB Cloud · Tailwind CSS v4 · next-intl · Vitest + Playwright · Vercel

Quick Start (≤ 5 minutes)

Fastest path — nothing to install: use the live site and the open API.

Run a local copy:

git clone https://github.com/simonmak-ascent/esg-hub.git
cd esg-hub
pnpm install        # note: requires sibling repo ../tool_package (private)
cp .env.example .env  # fill in your own values
pnpm dev

Useful commands: pnpm lint · npx tsc --noEmit · npx vitest run · pnpm verify:db

Note: the app renders content from a SurrealDB database — you need your own instance and content to run a full copy. The public site and API are freely accessible without running anything.

API & MCP

  • REST API: open, no auth — GET /api/v1/pages, /api/v1/search?q=..., /api/v1/resources, /api/v1/meta (docs)
  • MCP server: see mcp-server/ — gives AI agents tools to search and read the knowledge base

Contributing

Use with Context7

Up-to-date ESG Hub documentation is indexed on Context7, so coding agents can pull it into context on demand. With the Context7 MCP server or ctx7 CLI installed, name the library in your prompt:

use library /simonmak-ascent/esg-hub for API and docs

License

  • Code: MIT
  • Encyclopedia content: CC BY-SA 4.0 by Ascent Partners Foundation

An Ascent Partners Foundation project.

If this saves you time, a ⭐ on GitHub helps others find it.

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