
Synesthetic MCP
Enables validation, diff generation, and backend population for Synesthetic assets using schema-compliant resources and tools. Serves as an MCP adapter that enforces schema compliance and integrates with the Synesthetic asset generation pipeline.
README
version: 0.1.0 owner: delk73 lastReviewed: 2025-09-12
Synesthetic MCP
Lightweight Model Context Protocol (MCP) server for Synesthetic assets.
This repo adapts the canonical synesthetic-schemas into MCP resources and tools.
- Resources: schemas, examples (read-only, from SSOT).
- Tools: validation, diff (RFC6902 patch ops), backend population.
- Guards: enforce schema compliance before persistence.
System Context
flowchart LR
FE["sdfk_fe_ts\n(TypeScript Frontend)"]
BE["sdfk-backend\n(Python API & CRUD)"]
MCP["synesthetic-mcp\n(Python MCP Adapter)"]
RLHF["sdfk_rlhf\n(RLHF Asset Generation)"]
SSOT["synesthetic-schemas\n(SSOT: Schemas + Codegen)"]
FE --> |Consumes API| BE
RLHF --> |Generates Assets via MCP| MCP
MCP --> |Validates + Persists| BE
SSOT --> |Submodule + Python pkg| MCP
SSOT --> |TypeScript types| FE
SSOT --> |Python models| BE
style MCP fill:#444444,stroke:#ffffff,stroke-width:2px
Quick Setup
Option A: Nix + Poetry (full dev shell)
# Enter reproducible Nix shell (Python + Poetry pre-installed)
nix develop
# Install deps into local .venv/
poetry install
# Run tests
pytest
Option B: Fast path (pinned requirements, no resolver rodeos)
# Clean and bootstrap fresh venv
./install.sh
# Activate venv
source .venv/bin/activate
# Run tests
pytest -q
# Lint / type-check
ruff check .
mypy mcp/
The
install.sh
script installs fromrequirements.txt
with exact pinned versions for deterministic, fast environment setup.
Structure
synesthetic-mcp/
README.md
requirements.txt # Pinned dependencies (single source of truth for pip)
install.sh # Simple bootstrap script for reproducible env
docs/
mcp_spec.md # Full spec for MCP v1 (resources, tools, error model)
mcp/
__init__.py
core.py # schema/example discovery
validate.py # validation helpers
diff.py # JSON Patch generation
backend.py # proxy client to backend
stdio_main.py # MCP stdio adapter
http_main.py # optional FastAPI adapter
tests/
test_validate.py
test_diff.py
test_tools.py
fixtures/
valid_asset.json
invalid_asset.json
meta/
prompts/ # Canonical Codex/ChatGPT prompts used to spin up repo
Development
- MCP server is written in Python (>=3.11, tested on 3.11–3.13).
- Depends on generated Python models from
synesthetic-schemas
. - Use FastAPI for HTTP adapter, or run via stdio for direct agent integration.
- Tests use pytest and golden fixtures.
- Reproducible dev environment provided via Nix flake; pip +
requirements.txt
for fast installs.
Spec
See docs/mcp_spec.md for the pinned v1 specification.
Status
✅ Spec pinned in docs/mcp_spec.md
🚧 Implementation scaffolding in progress
Recommended Servers
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.
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.
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.

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

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.