Lithic MCP Server
The Lithic MCP Server provides read-only access to Lithic banking and card services through a TypeScript implementation of the Model Context Protocol (MCP).
With this server, you can:
Fetch specific resources: Retrieve any Lithic resource (card, account, transaction, etc.) by its ID/token using the
get_resourcetoolList resources: Get collections of resources by type using the
list_resourcestoolAccess comprehensive resource types: Interact with cards, accounts, transactions, events, balances, disputes, external bank accounts, reports, webhooks, and account holders
Leverage type-safe interactions: Benefit from TypeScript's type safety when accessing Lithic resources
Run flexibly: Deploy via Docker or run directly with TypeScript
Configure easily: Customize using environment variables like
LITHIC_API_KEYandLITHIC_API_BASE_URL
Provides a TypeScript implementation of a read-only interface to Lithic banking and card services, enabling access to resources like cards, accounts, transactions, balances, disputes, and financial accounts through the Lithic API.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Lithic MCP Serverlist my recent card transactions"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Lithic MCP Server (TypeScript)
A TypeScript implementation of a Model Context Protocol (MCP) server for Lithic API that provides read-only access to Lithic banking and card services.
Features
Modern TypeScript implementation using the MCP SDK
Read-only access to all Lithic API endpoints
Type-safe tools for accessing Lithic resources
Docker support
Improved error handling and validation
Related MCP server: MCP (Model Context Protocol) Server
Quick Start
Using Docker (Recommended)
Build the Docker image:
npm run docker:buildRun the server:
LITHIC_API_KEY=your_key_here npm run docker:runManual Setup
Install dependencies:
npm installBuild the TypeScript code:
npm run buildStart the server:
LITHIC_API_KEY=your_key_here npm startMCP Configuration
Add this to your .cursor/mcp.json or Claude Desktop configuration:
{
"lithic": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e", "LITHIC_API_KEY",
"-e", "LITHIC_API_BASE_URL",
"mcp/lithic"
],
"env": {
"LITHIC_API_KEY": "your_lithic_api_key_here",
"LITHIC_API_BASE_URL": "https://api.lithic.com/v1"
}
}
}Available Tools
This MCP server provides the following tools:
get_resource: Fetch a specific Lithic resource by ID/tokenlist_resources: List resources of a given type
Environment Variables
LITHIC_API_KEY- Your Lithic API key (required)LITHIC_API_BASE_URL- Lithic API base URL (default: https://sandbox.lithic.com/v1)
Supported Resource Types
card
account
financial_account
transaction
event
balance
dispute
external_bank_account
report
webhook
account_holder
Development
For development, you can use the watch mode:
npm run devThis will automatically rebuild and restart the server when you make changes to the source code.
Available Tools
2 toolsget_resourceC
Get a specific Lithic resource by ID
| Name | Required | Description | Default |
|---|---|---|---|
| resourceType | Yes | Type of resource (card, account, transaction, etc.) | |
| resourceId | Yes | ID/token of the resource to fetch |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states 'Get' which implies a read operation, but doesn't clarify permissions needed, rate limits, error handling, or what happens if the resource doesn't exist. For a tool with zero annotation coverage, this is a significant gap in transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with no wasted words. It's front-loaded with the core action and resource, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of fetching a resource by ID (which involves potential errors like not found), no annotations, and no output schema, the description is incomplete. It lacks details on return values, error conditions, or behavioral nuances, making it inadequate for a tool that likely requires more context for reliable use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents both parameters ('resourceType' and 'resourceId') with clear descriptions. The description adds no additional meaning beyond what's in the schema, such as examples or constraints, but the baseline is 3 since the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Get') and resource ('a specific Lithic resource by ID'), making the purpose understandable. However, it doesn't explicitly differentiate from its sibling 'list_resources' beyond the singular vs. plural naming, which could be more explicit about the distinction between retrieving a single item versus listing multiple items.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention the sibling 'list_resources' or any other tools, nor does it specify prerequisites, contexts, or exclusions for usage, leaving the agent to infer based on the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_resourcesC
List resources of a specific type
| Name | Required | Description | Default |
|---|---|---|---|
| resourceType | Yes | Type of resource to list (cards, accounts, transactions, etc.) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It states a read operation ('List'), which implies non-destructive behavior, but doesn't disclose any behavioral traits such as pagination, rate limits, authentication needs, or what happens if no resources are found. The description is minimal and lacks essential context for safe invocation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with no wasted words, making it appropriately sized and front-loaded. However, it's overly concise to the point of under-specification, slightly reducing its effectiveness despite the clean structure.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (1 parameter, no output schema, no annotations), the description is incomplete. It lacks context on resource types, listing behavior (e.g., pagination), and differentiation from 'get_resource'. Without annotations or output schema, more detail is needed to guide the agent effectively, resulting in a significant gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, with the parameter 'resourceType' documented as 'Type of resource to list (cards, accounts, transactions, etc.)'. The description adds no meaning beyond this, as it only restates the parameter's purpose generically. With high schema coverage, the baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'List resources of a specific type' states a clear verb ('List') and resource ('resources'), but it's vague about what 'resources' means in this context and doesn't differentiate from the sibling tool 'get_resource'. It provides a basic purpose but lacks specificity about scope or domain.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus the sibling 'get_resource', nor any context about prerequisites or alternatives. The description implies usage for listing by type but offers no explicit when/when-not instructions, leaving the agent to infer from the tool name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
TDQS
The two tools have clearly distinct purposes: get_resource retrieves a single resource by ID, while list_resources retrieves multiple resources of a type. There is no overlap or ambiguity between them.
Both tools follow a consistent verb_noun pattern (get_resource and list_resources), using snake_case and clear action verbs. The naming is perfectly predictable and uniform.
With only 2 tools, the server feels too thin for a general-purpose resource management domain. It lacks essential operations like create, update, or delete, making it incomplete for typical CRUD workflows.
The tool surface is severely incomplete for resource management. It only supports read operations (get and list), missing create, update, and delete capabilities, which are fundamental for a full lifecycle.
Resources
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