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teslamate-mcp vs semble
teslamate-mcp logo
teslamate-mcp
★ 127
vs
semble logo
semble
★ 4.5k

teslamate-mcp vs semble

teslamate-mcp: This server provides tools, prompts, and resources to query your TeslaMate database via MCP protocol. It supports both stdio and HTTP transports, with 20 tools for battery, charging, driving, efficiency, and locations.; semble: Semble is a high-performance code search library designed for AI agents, providing instant access to precise code snippets. It offers significantly faster indexing and querying compared to transformer models, achieving 99% of their retrieval quality while running entirely on CPU without external dependencies.

01

TL;DR

teslamate-mcp logoChoose teslamate-mcp if…

Query battery health and degradation trends

semble logoChoose semble if…

Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities

02

Side-by-Side Comparison

Field
teslamate-mcp logoteslamate-mcp
semble logosemble
Category
Dev Tooling
RAG / Knowledge Base
Stars
★ 127
★ 4.5k
License
MIT
MIT
Updated
1w ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
mcp, mcp-server, mcp-servers
agents, code-search, embeddings
03

Features

teslamate-mcp logoteslamate-mcp
0120 tools: 18 predefined analytics queries plus run_sql and get_database_schema
026 prompts for one-click workflows (battery health, driving summary, etc.)
032 resources for catalog browsing without tool invocation
04Hardened run_sql with READ ONLY transaction, timeouts, and row cap
05Two transports (stdio and HTTP) with bearer-token auth and health probe
semble logosemble
01Fast performance on CPU (indexes in ~250ms, queries in ~1.5ms)
02High accuracy (NDCG@10 of 0.854), comparable to transformer models
03Supports indexing local paths and remote Git repositories
04Functions as an MCP server for various AI agents
05Zero setup, no API keys, GPU, or external services required
04

Use Cases

teslamate-mcp logoteslamate-mcp
↳Query battery health and degradation trends
↳Analyze driving patterns and efficiency
↳Get summaries of charging sessions by location
semble logosemble
↳Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
↳Searching local or remote codebases for specific code snippets based on natural language or code queries
↳Finding semantically similar code sections related to a given file path and line number
05

Best For

teslamate-mcp logoteslamate-mcp
TrendingAPI IntegrationData Processing
semble logosemble
Code AssistantRAG / Knowledge Base
FAQ

FAQ

What is the difference between teslamate-mcp and semble?
Both teslamate-mcp and semble are in the Dev Tooling category. teslamate-mcp has 127 stars, while semble has 4.5k stars.
Which is better, teslamate-mcp or semble?
The best choice depends on your use case. Choose teslamate-mcp if Query battery health and degradation trends, and semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is teslamate-mcp free or open source?
Yes, teslamate-mcp is open source on GitHub (MIT).
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
→

Related

Alternatives to teslamate-mcp →Alternatives to semble →teslamate-mcp details →semble details →
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