Bring Unified Api
to LlamaIndex
Learn how to connect Apideck to LlamaIndex and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Apideck MCP Server?
Connect Apideck to your AI agent to streamline how you interact with multiple SaaS platforms. By using Apideck's Unified APIs, your agent can communicate with various CRM providers and manage user integrations without writing custom code for every service.
What you can do
- Unified CRM Access — List and filter contacts across different CRM providers like Salesforce, HubSpot, or Pipedrive using the
list_crm_contactstool. - Vault Management — Create sessions for users to link their own accounts (
create_vault_session), list existing connections, and retrieve or delete specific service links. - API Proxying — Execute direct requests to downstream service endpoints using
execute_proxywhen you need specific functionality not covered by the unified schema. - Connection Auditing — Inspect the status and details of active integrations using
get_vault_connectionto ensure data flow is healthy.
How it works
- Subscribe to this server
- Provide your Apideck API Key, App ID, and Consumer ID
- Start querying your unified ecosystem from Claude, Cursor, or any MCP client
Who is this for?
- Developers — who want to interact with multiple APIs through a single, normalized interface directly from their IDE.
- Product Managers — who need to audit user connections and CRM data across different environments without manual API calls.
- Support Teams — who need to verify if a customer's integration is correctly configured in the Vault through natural language.
Built-in capabilities (6)
Create a Vault session
Delete a Vault connection
Execute a Proxy API request
Get a specific Vault connection
g., salesforce, hubspot) using the Unified CRM API. List CRM contacts from a unified integration
List Vault connections
Why LlamaIndex?
LlamaIndex agents combine Apideck tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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.
- —
Data-first architecture: LlamaIndex agents combine Apideck tool responses with indexed documents for comprehensive, grounded answers
- —
Query pipeline framework lets you chain Apideck tool calls with transformations, filters, and re-rankers in a typed pipeline
- —
Multi-source reasoning: agents can query Apideck, a vector store, and a SQL database in a single turn and synthesize results
- —
Observability integrations show exactly what Apideck tools were called, what data was returned, and how it influenced the final answer
Apideck in LlamaIndex
Apideck and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Apideck 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 Apideck in LlamaIndex
The Apideck 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 6 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
Apideck for LlamaIndex
Every tool call from LlamaIndex to the Apideck MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I fetch contacts from a specific CRM like Salesforce or HubSpot?
Yes. Use the list_crm_contacts tool and provide the service_id (e.g., 'salesforce') to retrieve unified contact data from that specific integration.
How do I allow my users to configure their own integrations?
You can use the create_vault_session tool to generate a secure session URL where users can manage their connections within the Apideck Vault.
What if I need to call an API endpoint that isn't part of the unified schema?
The execute_proxy tool allows you to make direct calls to any downstream service URL using the stored credentials for a specific service_id.
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 Apideck 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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