Compatible with every major AI agent and IDE
What is the Flagsmith MCP Server?
Connect your Flagsmith account to any AI agent to control feature releases and remote configurations through natural conversation.
What you can do
- Flag Management — Retrieve default flag states and remote configuration values for any environment instantly.
- Identity Control — Fetch specific flags and traits for user identities or identify new users with custom traits to test personalized experiences.
- Environment Admin — Create new environments within projects and fetch full configuration documents for local evaluation modes.
- Dynamic Updates — Update flag values (single or batch) and manage segment overrides using the Admin API for rapid iteration.
- Local Evaluation — Access the entire environment configuration document for high-performance SDK integrations.
How it works
- Subscribe to this server
- Enter your Flagsmith Environment Key or Admin API Key
- Start managing your feature lifecycle from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Developers — check flag states and user traits directly from the code editor to debug feature logic without switching contexts.
- Product Managers — toggle features, manage rollouts, and update remote configs without touching the dashboard.
- DevOps & SREs — automate environment creation and manage segment overrides through simple natural language commands.
Built-in capabilities (8)
Requires FLAGSMITH_API_KEY. Create a new environment within a project
Requires FLAGSMITH_API_KEY. Delete a segment override
Requires FLAGSMITH_ENVIRONMENT_KEY. Get the entire environment configuration document
Requires FLAGSMITH_ENVIRONMENT_KEY. Get all default flag states for an environment
Requires FLAGSMITH_ENVIRONMENT_KEY. Get flags and traits for a specific user identity
Requires FLAGSMITH_ENVIRONMENT_KEY. Identify user and set traits
Requires FLAGSMITH_API_KEY. Update a flag value (Single change)
Requires FLAGSMITH_API_KEY. Update flags (Batch change)
Why LlamaIndex?
LlamaIndex agents combine Flagsmith tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Flagsmith tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Flagsmith tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Flagsmith, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Flagsmith tools were called, what data was returned, and how it influenced the final answer
Flagsmith in LlamaIndex
Flagsmith and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Flagsmith to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Flagsmith in LlamaIndex
The Flagsmith MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 8 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Flagsmith for LlamaIndex
Every tool call from LlamaIndex to the Flagsmith MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I retrieve flags for a specific user identity?
Yes. Use the get_identity_flags tool by providing the user's identifier. The agent will return all flags and traits associated with that specific identity in the environment.
How do I update multiple feature flags at once?
You can use the update_flag_v2 tool for batch changes. Provide the environment key and a JSON payload containing the updates you wish to apply simultaneously.
Is it possible to create a new environment via the agent?
Yes, using the create_environment tool. You will need to provide a name for the environment and the target Project ID. This requires a valid Flagsmith Admin API Key.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Flagsmith tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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