Chronos MCP Server
Provides tools for interacting with the Stellar blockchain network, including connecting to wallets, listing tokens, querying balances, and transferring funds between Stellar wallets.
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., "@Chronos MCP Servershow me my current XLM balance"
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.
Chronos MCP Server π΅
Chronos is a Model Context Protocol (MCP) server tailored for the Stellar blockchain and designed specifically for integration with Claude Desktop and similar AI applications. Chronos empowers your AI assistant with on-chain tools enabling streamlined interactions with the Stellar network.
Overview
Chronos MCP provides the following capabilities:
Connect to Stellar Wallets: Securely connect to your wallet using a secret key.
List Wallet Tokens: Retrieve and list all tokens held in a Stellar wallet.
Query Balances: Get real-time balances for your XLM and other assets.
Transfer Funds: Initiate transfers between Stellar wallets with ease.
Chronos is built to be extensible and operates as a standard Node.js package, allowing it to be easily deployed, installed, and integratedβsimilar to other MCP servers such as base-mcp.
Related MCP server: AMOCA Solana MCP Server
Features
Stellar Integration: Fully interacts with the Stellar mainnet via the Horizon API.
Easy Deployment: Publish and install Chronos using npm.
Claude Desktop Compatibility: Seamlessly integrate with Claude Desktop by updating MCP server configuration.
Extensible Architecture: Designed for future enhancements and new tool integrations.
Prerequisites
Node.js (v14 or higher)
npm
Stellar wallet credentials (secret key for connection)
Internet connectivity to interact with the Stellar network
Installation
Option 1: Install from npm (Recommended)
Install Chronos globally:
npm install -g chronos-mcpOr use it directly with npx:
npx chronos-mcp@latestOption 2: Install from Source
Clone the repository:
git clone https://github.com/yourusername/chronos-mcp.git cd chronos-mcpInstall dependencies:
npm installBuild the project:
npm run build(Optional) Link globally for easier access:
npm link
Option 3: Using Docker
You can also run Chronos MCP using Docker:
Build the Docker image:
docker build -t chronos-mcp .Run the container:
docker run -it --rm chronos-mcp
For more detailed instructions on using Docker with Chronos MCP, including Docker Compose setup and integration with Claude Desktop, see the Docker Usage Guide.
For information on testing your Docker setup locally, refer to the Docker Usage Guide. This includes information about building the Docker image, running the container, and using Docker with Chronos MCP.
Configuration
Environment Variables
Chronos MCP uses environment variables for configuration, particularly for sensitive information like your Stellar secret key. The project uses dotenv to load environment variables from a .env file during development.
To configure environment variables:
Create a
.envfile in the project root:STELLAR_SECRET_KEY=your_stellar_secret_key STELLAR_NETWORK=mainnetThese variables will be automatically loaded when the application starts.
When using Docker, you can provide environment variables in several ways:
Using the
--env-fileflag:docker run -it --rm --env-file .env chronos-mcpUsing the
env_filedirective in docker-compose.ymlSetting individual variables with the
-eflag:docker run -it --rm -e STELLAR_SECRET_KEY=your_key chronos-mcp
Claude Desktop Configuration
To use Chronos with Claude Desktop, update your Claude Desktop configuration file located at:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.jsonLinux:
~/.config/Claude/claude_desktop_config.json
Sample configuration for Claude Desktop:
{
"mcpServers": {
"stellar": {
"command": "npx",
"args": ["chronos-mcp@latest"],
"env": {
"STELLAR_NETWORK": "mainnet",
"STELLAR_SECRET_KEY": "your_stellar_secret_key"
},
"disabled": false,
"autoApprove": []
}
}
}For Docker integration with Claude Desktop, you can use:
{
"mcpServers": {
"stellar": {
"command": "docker",
"args": ["run", "-i", "--rm", "--env-file", "/path/to/your/.env", "chronos-mcp"],
"env": {
"STELLAR_NETWORK": "mainnet"
},
"disabled": false,
"autoApprove": []
}
}
}Usage
Chronos MCP exposes the following tools via its MCP interface:
connect_wallet
Connects to a Stellar wallet using the secret key.
Example Command:
"Connect my wallet using secret key ______"
list_tokens
Lists all tokens and assets in the specified Stellar wallet.
Example Command:
"List my wallet tokens"
get_balances
Retrieves the balance for XLM and any other assets.
Example Command:
"What's my current XLM balance?"
transfer_funds
Transfers funds from your wallet to another Stellar wallet.
Parameters:
secretKey: Your wallet secret key.destinationAddress: The recipient's wallet address.amount: The amount to transfer.asset(optional): Asset to transfer (defaults to XLM).
Example Command:
"Transfer 0.5 XLM to [destination wallet address]"
Testing
Standard Testing
To test Chronos MCP locally:
npm testThis will run the project's test suite and verify that your server is working as expected.
Docker Testing
To test the Docker setup locally, refer to the Docker Usage Guide for instructions. The guide covers:
Building the Docker image
Running the container with Docker Compose
Integration with Claude Desktop
Other Docker-related information
You can also use the included test-client.js script to test the Docker container:
node test-client.jsThis script sends a simple MCP request to the Docker container and displays the response.
Deployment
Chronos MCP is designed to function as a standard Node.js package and can be published to npm. Once published (e.g. via npm publish), Chronos can be installed globally or used via npx, just like any other MCP server.
For production deployment, consider wrapping Chronos in a system service (using systemd, launchd, etc.) for automatic restarts and monitoring.
Extending Chronos
Chronos is built with extensibility in mind. To add new tools:
Create a new directory in the
src/toolsfolder.Implement your tool (include an
index.ts,schemas.ts, andhandlers.ts).Export your tool in
src/tools/index.ts.Update the README with your tool's documentation and examples.
Write tests to ensure your new tool works correctly.
License
This project is licensed under the MIT License.
Contributing
Contributions are welcome! Please consult the CONTRIBUTING.md for guidelines on reporting issues, submitting pull requests, and other contribution instructions.
ββββββββββββββββββββββββββββββ This README is tailored specifically for Chronos MCP and outlines its deployment as a Node.js package, integration with Claude Desktop, and a comprehensive set of features to interact with the Stellar blockchain.
Available Tools
4 toolsconnect_walletC
Connect to a Stellar wallet using secret key
| Name | Required | Description | Default |
|---|---|---|---|
| secretKey | Yes | Stellar wallet secret key |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool connects using a secret key but doesn't describe what happens after connection (e.g., session persistence, error handling, or security implications like key storage). For a tool handling sensitive authentication with no 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 zero waste. It is front-loaded with the core action and resource, making it easy to parse. Every word earns its place by specifying the tool's purpose clearly without redundancy.
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 wallet connection (involving authentication and potential security concerns), no annotations, no output schema, and a single parameter, the description is incomplete. It doesn't explain what the tool returns (e.g., success status, wallet details) or behavioral aspects like error cases, leaving gaps for an AI agent to understand the tool fully.
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 'secretKey' documented as 'Stellar wallet secret key'. The description adds no additional meaning beyond this, as it only repeats that connection uses a secret key. Baseline 3 is appropriate since the schema does the heavy lifting, but the description doesn't compensate or enhance parameter understanding.
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 action ('Connect to') and target resource ('a Stellar wallet'), specifying it uses a secret key. It distinguishes from sibling tools like get_balances or transfer_funds by focusing on authentication rather than querying or transactions. However, it doesn't explicitly differentiate from potential other connection methods (e.g., via public key or mnemonic), keeping it from a perfect score.
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 alternatives. It doesn't mention prerequisites (e.g., needing a secret key), when not to use it (e.g., if already connected), or how it relates to sibling tools like get_balances. The description implies usage for wallet connection but lacks explicit context or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_balancesC
Get balances for all tokens in a Stellar wallet
| Name | Required | Description | Default |
|---|---|---|---|
| publicKey | Yes | Stellar wallet public key |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool's function but lacks critical details: it doesn't specify if this is a read-only operation (implied but not explicit), potential rate limits, authentication needs, error conditions, or what the output format looks like (e.g., JSON structure). This leaves significant gaps for safe and effective use.
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 that front-loads the core purpose ('Get balances for all tokens in a Stellar wallet'). There is no wasted verbiage or redundancy, 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 lack of annotations and output schema, the description is incomplete for a tool that interacts with financial data. It doesn't explain return values (e.g., balance amounts, token details), error handling, or dependencies on other tools like 'connect_wallet'. For a tool with no structured output documentation, this leaves the agent under-informed.
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%, with the single parameter 'publicKey' clearly documented in the schema. The description adds no additional parameter semantics beyond what's in the schema (e.g., format examples, validation rules, or context about the wallet). This meets the baseline for high schema coverage but doesn't enhance understanding.
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 action ('Get balances') and resource ('all tokens in a Stellar wallet'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'list_tokens' (which might list available tokens vs. getting balances), leaving room for potential confusion.
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 prerequisites (e.g., needing a connected wallet via 'connect_wallet'), exclusions, or comparisons to siblings like 'list_tokens' or 'transfer_funds', leaving the agent to infer usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_tokensC
List all tokens in a Stellar wallet
| Name | Required | Description | Default |
|---|---|---|---|
| publicKey | Yes | Stellar wallet public key |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden but offers minimal behavioral insight. It doesn't disclose whether this is a read-only operation, requires authentication, has rate limits, or what the output format might be. While 'List' suggests a safe read, the lack of details on permissions or response structure is a significant gap for a tool with zero annotation coverage.
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 that front-loads the core purpose without unnecessary words. Every part earns its place by directly stating the tool's function, making it highly concise and well-structured for quick understanding.
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 lack of annotations and output schema, the description is incomplete for effective tool use. It doesn't explain what 'tokens' entail (e.g., types, formats), authentication needs, or response behavior. For a tool with one parameter but no structured safety or output info, more context is needed to guide the agent adequately.
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%, with the parameter 'publicKey' fully documented in the schema. The description adds no additional meaning beyond implying it's for a Stellar wallet, which is already clear from the schema. This meets the baseline of 3, as the schema handles the heavy lifting without extra value from the description.
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 action ('List') and resource ('tokens in a Stellar wallet'), making the purpose immediately understandable. It distinguishes from siblings like 'get_balances' by focusing specifically on tokens rather than general balances. However, it doesn't specify whether this includes all token types or just specific ones, keeping it from a perfect score.
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 explicit guidance is provided on when to use this tool versus alternatives like 'get_balances' or 'connect_wallet'. The description implies usage for token listing but doesn't mention prerequisites (e.g., needing a connected wallet) or exclusions. This leaves the agent to infer context without clear direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
transfer_fundsC
Transfer funds to another Stellar wallet
| Name | Required | Description | Default |
|---|---|---|---|
| secretKey | Yes | Source wallet secret key | |
| destinationAddress | Yes | Destination wallet public key | |
| amount | Yes | Amount to transfer | |
| asset | No | Asset to transfer (defaults to XLM) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool performs a fund transfer but fails to mention critical aspects such as whether this is a destructive/mutative operation, authentication requirements (implied by 'secretKey' but not explicitly stated), potential rate limits, transaction fees, or error handling. This leaves significant gaps in understanding the tool's behavior.
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, direct sentence that efficiently conveys the core purpose without any unnecessary words or fluff. It is appropriately sized and front-loaded, making it easy for an agent 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 a financial transaction tool with no annotations and no output schema, the description is insufficient. It lacks details on return values, error conditions, security implications, or operational constraints, making it incomplete for safe and effective use by an AI agent.
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 schema description coverage is 100%, so the input schema already documents all parameters thoroughly (e.g., 'secretKey' as source wallet secret key, 'destinationAddress' as destination public key). The description adds no additional semantic context beyond what's in the schema, such as format details or examples, resulting in a baseline score of 3.
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 action ('transfer funds') and target resource ('to another Stellar wallet'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'connect_wallet' or 'get_balances', which are distinct operations, so it doesn't reach the highest score for sibling differentiation.
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 or any contextual prerequisites. It lacks explicit instructions on usage scenarios, exclusions, or comparisons with sibling tools like 'list_tokens', leaving the agent to infer usage based on 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
Each tool has a clearly distinct purpose: connect_wallet handles authentication, get_balances retrieves token balances, list_tokens enumerates available tokens, and transfer_funds performs transactions. There is no overlap or ambiguity between these functions.
All tools follow a consistent verb_noun pattern (connect_wallet, get_balances, list_tokens, transfer_funds) with clear, descriptive names. The naming convention is uniform and predictable throughout the set.
Four tools are reasonable for a Stellar wallet server, covering core operations like connection, balance checking, token listing, and transfers. However, the scope feels slightly thin as it lacks tools for advanced wallet management (e.g., transaction history, account details).
The tools cover essential wallet operations: authentication, balance retrieval, token listing, and fund transfers. Minor gaps exist, such as no tools for viewing transaction history or managing wallet settings, but agents can perform basic workflows without significant dead ends.
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