GTech-Context-MCP-Server

GTech-Context-MCP-Server

A static, read-only MCP server that exposes a database knowledge base (schema, relationships, workflows, and reasoning patterns) so Claude Code / Copilot can reason about a database without a live connection.

Category
Visit Server

README

db-kb-mcp-server

A static, read-only MCP server that exposes a database knowledge base (schema, relationships, workflows, and reasoning patterns) so Claude Code / Copilot can reason about a database it has no live connection to.

No DB connection required — the schema is assumed stable, and all content lives in kb/ as Markdown files.

Folder structure

kb/
  schema/         one file per table — columns, types, PK/FK, business meaning
  relationships/  FK-enforced and logical (non-enforced) relationships, grouped by subsystem
  workflows/      one file per customizable workflow — intents, tables touched, invariants
  patterns/       reusable reasoning recipes (e.g. reordering ordinal columns)
  glossary/       domain term definitions
server/
  src/            MCP server implementation (Node + TypeScript, @modelcontextprotocol/sdk)

Tools exposed

Tool Purpose
get_context Call this first, once per session. Returns hard rules, doc inventory, and what to call next.
get_context_for_query Preferred per-query context bundle: given the user's request, returns relevant tables + required docs (schema/workflow/relationships/patterns/glossary) and execution order in one response.
resolve_tables_for_query Call this second, with the user's request verbatim. Fans out across workflows/patterns/relationships/schema and returns a ranked, reasoned list of which tables are actually relevant, plus matching docs and concrete next steps — this is what lets an agent go from "user asked X" to "these are the tables to work on" without guessing table names from general domain knowledge.
list_kb_docs List all docs, optionally filtered by category
get_table_schema Full schema doc for a table
get_relationships FK + logical relationships, optionally filtered to a table
get_workflow Workflow doc: intents, tables touched, invariants
get_reasoning_pattern Reasoning recipe (e.g. reordering, choosing-column-values)
search_kb Full-text search across all docs
get_glossary_term Domain term lookup

Every doc is also exposed as an MCP resource (kb://<category>/<id>).

Running locally (stdio — simplest, per-user)

npm install
npm run build

By default, the server auto-loads kb/ from the repository root (resolved relative to server/dist/index.js, not the shell's current working directory). Override with KB_ROOT only when you want to point to another KB folder.

Then add to Claude Code:

claude mcp add db-kb -- node D:/Tasks/GTech_MCPServer/server/dist/index.js

Or set KB_ROOT to point at a KB folder elsewhere:

KB_ROOT=/path/to/kb node server/dist/index.js

Integration checklist (what users need on their machine)

Local stdio integration

Required on each user machine:

  • Node.js 18+ (recommended current LTS)
  • A local copy of:
    • server/dist/index.js (or full repo + build output)
    • kb/ folder (the knowledge base content)

Typical MCP config (example .mcp.json snippet):

{
  "mcpServers": {
    "db-kb": {
      "command": "node",
      "args": ["D:\\Tasks\\GTech_MCPServer\\server\\dist\\index.js"]
    }
  }
}

Optional when kb/ lives elsewhere:

{
  "mcpServers": {
    "db-kb": {
      "command": "node",
      "args": ["D:\\Tasks\\GTech_MCPServer\\server\\dist\\index.js"],
      "env": {
        "KB_ROOT": "D:\\MyKb"
      }
    }
  }
}

Hosted HTTP integration

Required on user machine:

  • Only the MCP server URL (no local kb/ copy needed)

Client should use:

  • transport: http
  • URL: https://<host>:<port>/mcp (include /mcp)

Running as a hosted server (HTTP — pluggable via URL for everyone)

MCP_TRANSPORT=http PORT=8787 npm start

Deploy this anywhere (small VM, container, internal server). Then each teammate adds the URL once:

claude mcp add --transport http db-kb https://your-host:8787/mcp

No cloning, no file sync — everyone always gets the current KB content.

The HTTP server keeps one McpServer/transport pair per MCP session (keyed by the mcp-session-id the SDK assigns on initialize), not per HTTP request — sessions span many requests, so a naive "new server per request" implementation breaks the handshake (tools/call fails with "Server not initialized" on the very next request). Verified end-to-end with a manual initialize → notifications/initialized → tools/call sequence over curl.

Updating the knowledge base

  1. Edit/add Markdown files under kb/.
  2. If running the hosted HTTP variant, redeploy/restart the server — it loads kb/ once at startup (schema is assumed static; restart to pick up doc changes).
  3. Use kb/schema/_TEMPLATE.md as the starting point for new tables.

Live read-only SQL access (Oracle SQLcl MCP Server)

Alongside the static KB server, this project bundles Oracle's official SQLcl (v26.2, downloaded to tools/sqlcl/) running in MCP mode — for verifying live schema/data against the actual Oracle instance. This is a separate, more sensitive server from db-kb: it needs real DB credentials and should not be shared as broadly as the KB server.

One-time setup (per machine, not committed to the repo)

  1. Save a connection using SQLcl's own encrypted connection store. Run -nolog first, then type the connect command at the interactive prompt (or pipe it via stdin) — passing connect ... as command-line arguments gets misparsed as a script filename. Also pass -thin — on Windows, SQLcl defaults to OCI/thick mode and fails with no ocijdbc23 in java.library.path unless a full Oracle Instant Client is on the path; thin mode needs no native client at all:
    tools/sqlcl/bin/sql -thin -nolog
    SQL> connect -save mydb -savepwd myuser/mypassword@myhost:1521/myservice
    
    Credentials are stored locally under ~/.dbtools (SQLcl's own encrypted store) — never commit this directory or put credentials in .mcp.json.
  2. Use a read-only DB account for myuser — grant only SELECT on the relevant schemas. This is the real enforcement boundary; SQLcl's own restrict levels are a second layer, not a substitute for DB-level permissions.
  3. Verify the saved connection actually works: connect -name mydb then select 1 from dual;.

Already wired into .mcp.json

"oracle-sqlcl": { "command": "tools/sqlcl/bin/sql", "args": ["-thin", "-mcp"] }

MCP mode defaults to restrict level 4 (most restrictive) unless overridden with -R. It exposes 5 core tools: list-connections, connect, disconnect, run-sql, run-sqlcl. The connect tool only accepts a saved connection name (from step 1 above) — it never accepts raw credentials over MCP, so nothing sensitive passes through the AI session itself.

Auditing

Every session is logged: V$SESSION.MODULE records the MCP client, V$SESSION.ACTION records the calling LLM, and SQLcl creates a DBTOOLS$MCP_LOG table recording every interaction/SQL statement executed — useful for reviewing what was actually run against the live DB.

Division of responsibility with the KB server

  • db-kb (this repo's server/) — static schema/workflow knowledge, safe to share broadly, no DB connection.
  • oracle-sqlcl — live queries against the real instance, needs a read-only DB account, keep access scoped to people authorized to query production/test data.

Adding a new workflow doc

Copy the structure in kb/workflows/approval-chain-workflow.md:

  • List common user intents mapped to concrete table/column changes.
  • List invariants that must hold after any change.
  • Link to relevant schema docs and reasoning patterns with [[slug]] (informal — for human navigation; the tools don't resolve these automatically yet).

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured