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FalkorDB/QueryWeaver

An MCP server for Text2SQL: transforms natural language into SQL using graph schema understanding.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 9 credentials: FASTAPI_SECRET_KEY, OPENAI_API_KEY, GEMINI_API_KEY, ANTHROPIC_API_KEY, VOYAGE_API_KEY, COHERE_API_KEY, AZURE_API_KEY, GOOGLE_CLIENT_SECRET, GITHUB_CLIENT_SECRET
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configBASE_URL
configDISABLE_MCPTo disable the built-in MCP endpoints set =true in your .env or environment (default: MCP enabled).
🔐 secretFASTAPI_SECRET_KEYe =your_super_secret_key_here \
configCOMPLETION_MODELgemini/gemini-3-pro-preview
configEMBEDDING_MODEL\ Anthropic has no native embeddings. You must set VOYAGE_API_KEY or for embeddings, otherwise startup will fail with an error.
configOLLAMA_MODELOllama ollama/<your-model>, ollama/nomic-embed-text
configOLLAMA_EMBEDDING_MODEL
🔐 secretOPENAI_API_KEYNote: QueryWeaver supports multiple AI providers. You can use , GEMINI_API_KEY, ANTHROPIC_API_KEY, or AZURE_API_KEY. See the [AI/LLM configuration](#aillm-configuration) section for details.
🔐 secretGEMINI_API_KEYNote: QueryWeaver supports multiple AI providers. You can use OPENAI_API_KEY, , ANTHROPIC_API_KEY, or AZURE_API_KEY. See the [AI/LLM configuration](#aillm-configuration) section for details.
🔐 secretANTHROPIC_API_KEYNote: QueryWeaver supports multiple AI providers. You can use OPENAI_API_KEY, GEMINI_API_KEY, , or AZURE_API_KEY. See the [AI/LLM configuration](#aillm-configuration) section for details.
🔐 secretVOYAGE_API_KEY\ Anthropic has no native embeddings. You must set or EMBEDDING_MODEL for embeddings, otherwise startup will fail with an error.
🔐 secretCOHERE_API_KEYCohere cohere/command-a-03-2025, cohere/embed-v4.0
configCOHERE_MODEL
configCOHERE_EMBEDDING_MODEL
configGENERAL_PREFIX
configFALKORDB_URL
configFASTAPI_DEBUG
configHOST
configPORT
configMEMORY_TTL_SECONDSQueryWeaver stores per-user conversation memory in FalkorDB. By default these graphs persist indefinitely. Set to apply a Redis TTL (in seconds) so idle memory graphs are automatically cleaned up.
configMODEL_NAME
🔐 secretAZURE_API_KEYe =your_azure_api_key \
configAZURE_API_BASEe =https://your-resource.openai.azure.com/ \
configAZURE_API_VERSIONe =2024-12-01-preview \
configAZURE_SMALL_MODEL
configAZURE_EMBEDDING_ENDPOINT
configGOOGLE_TAG_MANAGER_ID
configGOOGLE_CLIENT_IDe =your_google_client_id \
🔐 secretGOOGLE_CLIENT_SECRETe =your_google_client_secret \
configGITHUB_CLIENT_IDe =your_github_client_id \
🔐 secretGITHUB_CLIENT_SECRETe =your_github_client_secret \
configEMAIL_AUTH_ENABLED
configOAUTH_BASE_URL
configFALKORDB_HOST
configFALKORDB_PORT
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 0 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/official-https-github-com-falkordb-queryweaver)](https://m8ven.ai/mcp/official-https-github-com-falkordb-queryweaver)
commit: b8e66028425aba6122ffce80ebc9e2683e3eb153
code hash: 59f4fe860b9e73ea3ba9d77f1a1dbe2cbbbb5821b86bf6abf5b8c30a17634450
verified: 6/16/2026, 11:49:20 AM
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FalkorDB/QueryWeaver · M8ven Trust Score | M8ven