Fal.ai MCP
MCP server for Fal.ai. Generate images, videos, music, and audio with the Fal.ai 600+ model catalog from inside agents. 43 GitHub stars and 1 commit on main in the last 30 days.
“MCP server for Fal.ai. Generate images, videos, music, and audio with Fal.ai's 600+ model catalog from inside agents. 43 stars and 1 commit on main in the last 30 days.”
INSTALL THIS SERVER
{
"mcpServers": {
"fal": {
"command": "python",
"args": [
"-m",
"fal_mcp_server"
],
"env": {
"FAL_KEY": "YOUR_FAL_KEY"
}
}
}
}
{
"mcpServers": {
"fal": {
"command": "python",
"args": [
"-m",
"fal_mcp_server"
],
"env": {
"FAL_KEY": "YOUR_FAL_KEY"
}
}
}
}
{
"mcpServers": {
"fal": {
"command": "python",
"args": [
"-m",
"fal_mcp_server"
],
"env": {
"FAL_KEY": "YOUR_FAL_KEY"
}
}
}
}
{
"mcpServers": {
"fal": {
"command": "python",
"args": [
"-m",
"fal_mcp_server"
],
"env": {
"FAL_KEY": "YOUR_FAL_KEY"
}
}
}
}
{
"mcpServers": {
"fal": {
"command": "python",
"args": [
"-m",
"fal_mcp_server"
],
"env": {
"FAL_KEY": "YOUR_FAL_KEY"
}
}
}
}
6 TOOLS AVAILABLE
OUR ASSESSMENT
- 43 GitHub stars.
- 1 commit on main in the last 30 days.
- MIT license.
- Covers Fal.ai's 600+ model catalog.
- Image, video, and audio generation in one MCP.
- Fal.ai account required; not free to run at scale.
- Job duration counts toward agent loop latency; long video generations exceed typical agent invocation timeouts.
- Community-maintained; no Fal.ai vendor stamp.
FAL_KEY is account-scoped. Set per-key spend limits in the Fal.ai dashboard before connecting to long-running agent workflows. Generated outputs may include user prompts; treat the agent flow as having access to potentially sensitive content.
Agents that generate images, videos, or audio at scale; creative workflows that benefit from Fal.ai's low-latency inference; teams already paying for Fal.ai who want agent-driven generation.
TECHNICAL DETAILS
ADOPTION METRICS
// Reading this43 stars on raveenb/fal-mcp-server. 1 commit on main in the last 30 days.
// Reading thisPairs with Pinecone, Qdrant, Cognee, ElevenLabs, AWS Bedrock, AWS SageMaker, Arize Phoenix, Codebase Memory, W&B in ai-ml. Fal.ai inference catalog adds media-generation slot.
SOURCES & VERIFICATION
We don't take any single directory's word for it. Before scoring, we cross-reference 4 public MCP sources, install the server ourselves against the clients we cover, and record when we last re-verified.
The same server, 4 different lenses. We reconcile these signals into our editorial score, which is why our number sometimes diverges from a directory-aggregate star count.
| Source | Their rating | Their star count | Their downloads | Last synced |
|---|---|---|---|---|
| AutomationSwitch This page | 4editorial | 43 | — | MAY 6, 2026 |
| PulseMCP | — unrated | unavailable | unavailable | MAY 6, 2026 |
| MCP.so | — unrated | unavailable | unavailable | MAY 6, 2026 |
| Glama | — unrated | unavailable | unavailable | MAY 6, 2026 |
| Smithery | — unrated | unavailable | unavailable | MAY 6, 2026 |
// Counts are directory-reported; we don't adjust them. Discrepancies usually come from different snapshot times or star-caching.
OTHER AI / ML MCP SERVERS
Cognee MCP
Knowledge graph plus vector memory engine for AI agents, exposed as an MCP server with V2 session-aware memory tools (remember, recall, forget, improve) and classic V1 ingestion pipelines (cognify, codify). Three transports: stdio, SSE, Streamable HTTP. 16,965 GitHub stars, Apache-2.0.
Codebase Memory MCP
High-performance code intelligence MCP server for AI coding agents. Indexes a codebase into a queryable knowledge graph in milliseconds, with 14 MCP tools spanning structural search, call-chain tracing, impact analysis, dead-code detection, and Cypher queries. Single static C binary, 66 languages via tree-sitter, zero runtime dependencies.
Arize Phoenix MCP
LLM observability platform exposing prompts, projects, traces, spans, sessions, datasets, and experiments through MCP. Published to npm as @arizeai/phoenix-mcp, current 4.0.8 (2026-04-29). 9,496 stars on parent monorepo, Elastic License 2.0.
Qdrant MCP Server
Official Qdrant vector database MCP server. Acts as a semantic memory layer on top of Qdrant: store information with metadata, retrieve via similarity search. Two tools, very small surface area, exceptionally maintained by the Qdrant team. Configurable embedding provider (fastembed default), supports remote and local Qdrant clusters.
Amazon Bedrock AgentCore MCP
Official AWS Labs MCP server for Amazon Bedrock AgentCore: agent runtime, memory, gateway, identity, and observability. Tools fetch curated AgentCore documentation and surface deployment guides for runtime, memory, and gateway resources. Apache-2.0 within awslabs/mcp monorepo (8,924 parent stars).
Weights & Biases MCP
Official W&B MCP server for Weights & Biases Models and Weave. Query experiments, runs, sweeps, models, traces, evaluations through MCP. 50 GitHub stars and 13 commits on main in the last 30 days.
DISCUSS YOUR
MCP REQUIREMENTS.
Evaluating a server, scoping an internal deployment, or working out whether MCP is the right fit at all. Start the conversation and we will point you at the right piece of the ecosystem.