Back to MCP Trust Indexm8ven
98
/ 100
5 days ago
official

FalkorDB/QueryWeaver

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

→ FalkorDB/QueryWeaver· listed on official
Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find.

Install from

Officialmcp.so

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// 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_MCP— To disable the built-in MCP endpoints set =true in your .env or environment (default: MCP enabled).
🔐 secretFASTAPI_SECRET_KEY— e =your_super_secret_key_here \
configORGANIZATIONS_GRAPH
configCOMPLETION_MODEL— gemini/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_MODEL— Ollama ollama/<your-model>, ollama/nomic-embed-text
configOLLAMA_EMBEDDING_MODEL
🔐 secretOPENAI_API_KEY— Note: 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_KEY— Note: 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_KEY— Note: 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_KEY— Cohere cohere/command-a-03-2025, cohere/embed-v4.0
configCOHERE_MODEL
configCOHERE_EMBEDDING_MODEL
configGENERAL_PREFIX
configFALKORDB_URL
configFASTAPI_DEBUG
configHOST
configPORT
configMEMORY_TTL_SECONDS— QueryWeaver 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_KEY— e =your_azure_api_key \
configAZURE_API_BASE— e =https://your-resource.openai.azure.com/ \
configAZURE_API_VERSION— e =2024-12-01-preview \
configAZURE_SMALL_MODEL
configAZURE_EMBEDDING_ENDPOINT
configGOOGLE_TAG_MANAGER_ID
configGOOGLE_CLIENT_ID— e =your_google_client_id \
🔐 secretGOOGLE_CLIENT_SECRET— e =your_google_client_secret \
configGITHUB_CLIENT_ID— e =your_github_client_id \
🔐 secretGITHUB_CLIENT_SECRET— e =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/falkordb-queryweaver-apnxih)](https://m8ven.ai/mcp/falkordb-queryweaver-apnxih)
commit: 01136338927492ff374fa54f4a2172ada35eb27c
code hash: 37d291da6260984d3e3fc8708a22e3cdb107fdd33e090b06d61519bc45865f26
verified: 7/26/2026, 8:52:38 AM
view raw JSON →