What can @delegare/mcp-tools do?

mcp tool schema registration for payment delegation, agent-to-payment-service bridging via mcp protocol, payment delegation parameter validation and schema enforcement, mcp tool discovery and capability advertisement, delegare api credential management and authentication, payment delegation request logging and audit trail generation, error handling and payment failure recovery guidance

@delegare/mcp-tools

MCP ServerFree

MCP tool registration for Delegare agent payment delegation

Open Source

/ 100

7 capabilities

Capabilities7 decomposed

mcp tool schema registration for payment delegation

Medium confidence

Registers payment delegation operations as MCP (Model Context Protocol) tools with standardized JSON schema definitions, enabling AI agents to discover and invoke payment-related functions through the MCP tool-calling interface. Implements schema validation and tool metadata registration following MCP specification patterns for seamless agent integration.

Solves for

I want my AI agent to understand and execute payment delegation commands without custom parsing logicI need to expose payment operations as discoverable tools in an MCP-compatible agent frameworkI want to standardize how agents invoke delegation functions across different LLM providers

Best for

AI agent developers building payment automation workflows

Teams integrating Delegare payment delegation into MCP-based agent systems

Builders creating multi-agent payment orchestration platforms

Requires

Node.js 16+ or compatible JavaScript runtime

MCP client implementation (e.g., Claude Desktop, Cline, or custom MCP host)

Delegare API credentials or payment delegation service endpoint

Limitations

Limited to MCP-compatible agent frameworks — no direct REST or gRPC exposure

Requires agent to implement MCP client protocol — not suitable for simple webhook-based integrations

No built-in rate limiting or transaction queuing — relies on agent-level orchestration

What makes it unique

Provides native MCP tool registration specifically for payment delegation workflows, with pre-built schemas for common delegation patterns (amount-based, time-bound, recipient-specific) rather than generic function-calling abstractions

vs alternatives

Simpler than building custom MCP tools from scratch because it provides payment-domain-specific schemas and validation, while more flexible than hardcoded payment APIs because it works with any MCP-compatible agent

agent-to-payment-service bridging via mcp protocol

Medium confidence

Acts as a protocol bridge that translates MCP tool invocations from AI agents into Delegare payment delegation API calls, handling request/response transformation, error mapping, and agent-side context preservation. Uses MCP's standardized request/response envelope format to decouple agent logic from payment service implementation details.

Solves for

I want my agent to delegate payments without knowing the underlying Delegare API structureI need to handle payment errors from the delegation service and return meaningful feedback to the agentI want to maintain agent context (conversation history, user intent) across payment operations

Best for

Developers building conversational AI agents that handle financial transactions

Teams deploying agents in regulated environments requiring audit trails of payment operations

Multi-agent systems where payment delegation is a shared capability

Requires

Active Delegare service endpoint with authentication credentials

MCP server implementation (Node.js or compatible runtime)

Agent framework supporting MCP tool calling (Claude Desktop, Cline, etc.)

Limitations

No built-in retry logic — agent must implement exponential backoff for transient failures

Synchronous request/response model — long-running payment operations may timeout

No transaction state persistence — agent must track payment status externally

What makes it unique

Implements bidirectional MCP protocol bridging specifically for payment delegation, with built-in context propagation to preserve agent conversation state across payment operations, rather than treating payments as isolated API calls

vs alternatives

More maintainable than custom agent code for each payment operation because the bridge abstracts protocol details, while more feature-rich than generic MCP tool wrappers because it understands payment-specific semantics

payment delegation parameter validation and schema enforcement

Medium confidence

Validates incoming payment delegation requests against predefined JSON schemas before execution, enforcing type constraints, amount limits, recipient whitelisting, and authorization rules. Uses schema-based validation to prevent malformed or unauthorized payment operations from reaching the Delegare service, reducing downstream errors and improving agent reliability.

Solves for

I want to prevent agents from accidentally delegating payments with invalid parametersI need to enforce business rules (amount limits, approved recipients) at the tool levelI want clear validation error messages to help agents correct delegation requests

Best for

Production agent deployments handling real financial transactions

Compliance-sensitive environments requiring strict parameter validation

Teams building multi-tenant agent platforms with per-tenant delegation rules

Requires

JSON schema definitions for payment operations

Schema validator library (typically ajv or similar, included in package)

Configuration for delegation rules (amount limits, recipient whitelist, etc.)

Limitations

Schema validation is synchronous — adds latency for complex validation rules

No dynamic rule updates without redeployment — rules are baked into schema definitions

Cannot validate against external state (e.g., recipient reputation scores) — only static schema constraints

What makes it unique

Provides payment-domain-specific validation schemas with built-in support for common delegation constraints (amount limits, recipient whitelisting, time-based restrictions) rather than generic JSON schema validation

vs alternatives

More secure than agent-side validation because it enforces rules at the tool boundary, while more flexible than hardcoded validation because rules are schema-driven and configurable

mcp tool discovery and capability advertisement

Medium confidence

Exposes available payment delegation operations as discoverable MCP tools with complete metadata (name, description, parameters, return types), allowing agents to introspect available capabilities and dynamically construct appropriate delegation requests. Implements MCP tool listing and schema inspection endpoints following the MCP specification for tool discovery.

Solves for

I want agents to discover what payment delegation operations are available without hardcoding tool namesI need agents to understand the parameters required for each delegation operationI want to dynamically update available tools without redeploying agent code

Best for

Developers building flexible agent systems that adapt to available tools

Teams deploying agents across multiple Delegare instances with different capabilities

Multi-agent platforms where tool availability varies by user or tenant

Requires

MCP server implementation with tool listing support

Tool metadata definitions (schemas, descriptions, examples)

Agent framework that supports MCP tool discovery (most modern frameworks do)

Limitations

Tool discovery is static at startup — dynamic capability changes require agent restart

No versioning support — cannot deprecate tools or manage breaking changes gracefully

Discovery metadata is read-only — agents cannot modify tool definitions

What makes it unique

Implements MCP tool discovery specifically for payment delegation operations, with pre-built metadata for common delegation patterns, rather than generic tool listing

vs alternatives

More discoverable than hardcoded tool lists because agents can introspect capabilities at runtime, while more maintainable than manual tool documentation because metadata is generated from schema definitions

delegare api credential management and authentication

Medium confidence

Manages authentication credentials for the Delegare payment delegation service, supporting multiple credential types (API keys, OAuth tokens, service accounts) and securely passing them to payment operations. Implements credential injection at the MCP tool level, preventing credentials from being exposed to agents while ensuring proper authorization for delegation requests.

Solves for

I want to authenticate with Delegare without exposing credentials to the agentI need to support multiple authentication methods for different deployment scenariosI want to rotate credentials without redeploying the agent or MCP server

Best for

Production deployments requiring secure credential handling

Multi-tenant systems where each tenant has separate Delegare credentials

Teams using credential rotation or dynamic credential provisioning

Requires

Delegare API credentials (API key or OAuth token)

Environment variables or secure config file for credential storage

MCP server with credential injection support

Limitations

Credentials must be configured at MCP server startup — no runtime credential updates

No built-in credential rotation — requires external orchestration (e.g., Kubernetes secrets)

Single credential per MCP instance — cannot support per-user delegation with different permissions

What makes it unique

Provides payment-specific credential management with support for Delegare's authentication patterns, injecting credentials at the tool boundary to prevent agent exposure, rather than generic API key handling

vs alternatives

More secure than agent-side credential management because credentials never reach the agent, while more flexible than hardcoded authentication because it supports multiple credential types and sources

payment delegation request logging and audit trail generation

Medium confidence

Automatically logs all payment delegation requests and responses, creating an immutable audit trail of who delegated what, when, and with what result. Captures request parameters, agent identity, timestamps, and outcomes in structured format suitable for compliance reporting and debugging. Implements audit logging at the MCP tool invocation level to ensure comprehensive coverage.

Solves for

I need to maintain compliance audit trails for all payment delegationsI want to debug failed payment operations by reviewing request/response historyI need to track which agent instances initiated which delegations for accountability

Best for

Regulated environments (fintech, banking) requiring audit compliance

Teams debugging agent payment failures in production

Multi-agent systems requiring accountability for payment operations

Requires

Logging infrastructure (file system, cloud logging service, or log aggregator)

Structured logging library (typically winston, pino, or similar)

Log retention policy and storage backend

Limitations

Logging is synchronous — may impact performance for high-volume delegations

No built-in log retention or archival — requires external log storage (e.g., CloudWatch, ELK)

Sensitive data (amounts, recipients) logged in plaintext — requires encryption at rest

What makes it unique

Provides payment-specific audit logging with automatic capture of delegation context (agent identity, authorization, outcome), rather than generic request logging

vs alternatives

More comprehensive than agent-side logging because it captures all delegations at the tool boundary, while more compliance-friendly than application logs because it creates immutable audit trails

error handling and payment failure recovery guidance

Medium confidence

Translates Delegare API errors into agent-friendly error responses with recovery suggestions, enabling agents to understand why delegations failed and take corrective action. Maps payment-specific error codes (insufficient funds, invalid recipient, authorization denied) to human-readable messages and suggests recovery strategies (retry, adjust amount, verify recipient). Implements error classification to distinguish transient failures (retry-able) from permanent failures (require user intervention).

Solves for

I want agents to understand why a payment delegation failed and recover automatically when possibleI need clear error messages to help users understand what went wrong with their delegationI want to distinguish between transient errors (retry) and permanent errors (escalate to user)

Best for

Conversational agents handling payment failures gracefully

Systems requiring automatic error recovery and retry logic

User-facing applications where error messages must be clear and actionable

Requires

Delegare API error documentation and error code mapping

Error classification rules (transient vs permanent)

Recovery suggestion templates for common failure modes

Limitations

Error recovery suggestions are generic — cannot adapt to specific user context

No automatic retry logic — agents must implement their own retry strategies

Error classification is static — cannot learn from new error patterns

What makes it unique

Provides payment-domain-specific error handling with recovery suggestions tailored to delegation failures (insufficient funds, invalid recipient, authorization issues), rather than generic error translation

vs alternatives

More helpful than raw API errors because it provides recovery guidance, while more flexible than hardcoded error handling because error mappings are configurable

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

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Machine-readable MCP tool schemas for Undisk — enables IDE autocompletion and code generation for any language

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promptspeak-mcp-server

Pre-execution governance for AI agents. Intercepts MCP tool calls before execution with deterministic blocking, human-in-the-loop holds, and behavioral drift detection.

mcp protocol-level tool call validation and schema enforcement

1 shared capability

Best For

✓AI agent developers building payment automation workflows
✓Teams integrating Delegare payment delegation into MCP-based agent systems
✓Builders creating multi-agent payment orchestration platforms
✓Developers building conversational AI agents that handle financial transactions
✓Teams deploying agents in regulated environments requiring audit trails of payment operations
✓Multi-agent systems where payment delegation is a shared capability
✓Production agent deployments handling real financial transactions
✓Compliance-sensitive environments requiring strict parameter validation

Known Limitations

⚠Limited to MCP-compatible agent frameworks — no direct REST or gRPC exposure
⚠Requires agent to implement MCP client protocol — not suitable for simple webhook-based integrations
⚠No built-in rate limiting or transaction queuing — relies on agent-level orchestration
⚠Schema-based validation adds latency for complex payment scenarios with many parameters
⚠No built-in retry logic — agent must implement exponential backoff for transient failures
⚠Synchronous request/response model — long-running payment operations may timeout

Requirements

Node.js 16+ or compatible JavaScript runtimeMCP client implementation (e.g., Claude Desktop, Cline, or custom MCP host)Delegare API credentials or payment delegation service endpoint@delegare/mcp-tools npm package installedActive Delegare service endpoint with authentication credentialsMCP server implementation (Node.js or compatible runtime)Agent framework supporting MCP tool calling (Claude Desktop, Cline, etc.)Network connectivity between agent and Delegare service

Input / Output

Accepts: JSON schema definitions for payment operations, MCP tool request objects with typed parameters, Delegation configuration objects (recipient, amount, authorization), MCP tool call requests with delegation parameters, Agent context objects (user ID, session state, authorization tokens), Payment operation specifications (recipient, amount, conditions), Payment delegation request objects with typed parameters, JSON schema definitions for validation rules, Configuration objects specifying business constraints, MCP tool list requests, MCP tool schema inspection requests, Credential configuration (API key, OAuth token, service account), Authentication method specification, Payment delegation requests with all parameters, Agent identity and context information, Response data from Delegare service, Delegare API error responses, Payment delegation request context

Produces: MCP tool response objects with transaction status, Structured payment delegation results (transaction ID, confirmation), Error responses with standardized MCP error codes, MCP tool response with transaction confirmation, Delegation status updates (pending, confirmed, failed), Error responses with payment-specific error codes and recovery suggestions, Validation success confirmation, Detailed validation error objects with field-level error messages, Constraint violation reports (e.g., 'amount exceeds daily limit'), List of available payment delegation tools with metadata, Complete JSON schema for each tool including parameters and return types, Tool descriptions and usage examples, Authenticated requests to Delegare API, Authorization headers or tokens attached to payment operations, Structured audit log entries (JSON format), Compliance-ready audit reports, Debugging logs with full request/response details, Agent-friendly error messages with recovery suggestions, Error classification (transient/permanent), Retry recommendations with backoff guidance

UnfragileRank

Adoption9%(30% weight)

Quality16%(25% weight)

Ecosystem45%(25% weight)

Match Graph10%(15% weight)

Freshness75%(5% weight)

UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.

Type: MCP Server

7 capabilities

Visit @delegare/mcp-tools→

Package Details

npm

Registry

0.4.0

Version

149

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MCP tool registration for Delegare agent payment delegation

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Capabilities7 decomposed

mcp tool schema registration for payment delegation

Medium confidence

Solves for

Best for

AI agent developers building payment automation workflows

Teams integrating Delegare payment delegation into MCP-based agent systems

Builders creating multi-agent payment orchestration platforms

Requires

Node.js 16+ or compatible JavaScript runtime

MCP client implementation (e.g., Claude Desktop, Cline, or custom MCP host)

Delegare API credentials or payment delegation service endpoint

Limitations

Limited to MCP-compatible agent frameworks — no direct REST or gRPC exposure

Requires agent to implement MCP client protocol — not suitable for simple webhook-based integrations

No built-in rate limiting or transaction queuing — relies on agent-level orchestration

What makes it unique

vs alternatives

agent-to-payment-service bridging via mcp protocol

Medium confidence

Solves for

Best for

Developers building conversational AI agents that handle financial transactions

Teams deploying agents in regulated environments requiring audit trails of payment operations

Multi-agent systems where payment delegation is a shared capability

Requires

Active Delegare service endpoint with authentication credentials

MCP server implementation (Node.js or compatible runtime)

Agent framework supporting MCP tool calling (Claude Desktop, Cline, etc.)

Limitations

No built-in retry logic — agent must implement exponential backoff for transient failures

Synchronous request/response model — long-running payment operations may timeout

No transaction state persistence — agent must track payment status externally

What makes it unique

vs alternatives

payment delegation parameter validation and schema enforcement

Medium confidence

Solves for

Best for

Production agent deployments handling real financial transactions

Compliance-sensitive environments requiring strict parameter validation

Teams building multi-tenant agent platforms with per-tenant delegation rules

Requires

JSON schema definitions for payment operations

Schema validator library (typically ajv or similar, included in package)

Configuration for delegation rules (amount limits, recipient whitelist, etc.)

Limitations

Schema validation is synchronous — adds latency for complex validation rules

No dynamic rule updates without redeployment — rules are baked into schema definitions

Cannot validate against external state (e.g., recipient reputation scores) — only static schema constraints

What makes it unique

vs alternatives

More secure than agent-side validation because it enforces rules at the tool boundary, while more flexible than hardcoded validation because rules are schema-driven and configurable

mcp tool discovery and capability advertisement

Medium confidence

Solves for

Best for

Developers building flexible agent systems that adapt to available tools

Teams deploying agents across multiple Delegare instances with different capabilities

Multi-agent platforms where tool availability varies by user or tenant

Requires

MCP server implementation with tool listing support

Tool metadata definitions (schemas, descriptions, examples)

Agent framework that supports MCP tool discovery (most modern frameworks do)

Limitations

Tool discovery is static at startup — dynamic capability changes require agent restart

No versioning support — cannot deprecate tools or manage breaking changes gracefully

Discovery metadata is read-only — agents cannot modify tool definitions

What makes it unique

Implements MCP tool discovery specifically for payment delegation operations, with pre-built metadata for common delegation patterns, rather than generic tool listing

vs alternatives

delegare api credential management and authentication

Medium confidence

Solves for

Best for

Production deployments requiring secure credential handling

Multi-tenant systems where each tenant has separate Delegare credentials

Teams using credential rotation or dynamic credential provisioning

Requires

Delegare API credentials (API key or OAuth token)

Environment variables or secure config file for credential storage

MCP server with credential injection support

Limitations

Credentials must be configured at MCP server startup — no runtime credential updates

No built-in credential rotation — requires external orchestration (e.g., Kubernetes secrets)

Single credential per MCP instance — cannot support per-user delegation with different permissions

What makes it unique

vs alternatives

payment delegation request logging and audit trail generation

Medium confidence

Solves for

Best for

Regulated environments (fintech, banking) requiring audit compliance

Teams debugging agent payment failures in production

Multi-agent systems requiring accountability for payment operations

Requires

Logging infrastructure (file system, cloud logging service, or log aggregator)

Structured logging library (typically winston, pino, or similar)

Log retention policy and storage backend

Limitations

Logging is synchronous — may impact performance for high-volume delegations

No built-in log retention or archival — requires external log storage (e.g., CloudWatch, ELK)

Sensitive data (amounts, recipients) logged in plaintext — requires encryption at rest

What makes it unique

Provides payment-specific audit logging with automatic capture of delegation context (agent identity, authorization, outcome), rather than generic request logging

vs alternatives

More comprehensive than agent-side logging because it captures all delegations at the tool boundary, while more compliance-friendly than application logs because it creates immutable audit trails

error handling and payment failure recovery guidance

Medium confidence

Solves for

Best for

Conversational agents handling payment failures gracefully

Systems requiring automatic error recovery and retry logic

User-facing applications where error messages must be clear and actionable

Requires

Delegare API error documentation and error code mapping

Error classification rules (transient vs permanent)

Recovery suggestion templates for common failure modes

Limitations

Error recovery suggestions are generic — cannot adapt to specific user context

No automatic retry logic — agents must implement their own retry strategies

Error classification is static — cannot learn from new error patterns

What makes it unique

vs alternatives

More helpful than raw API errors because it provides recovery guidance, while more flexible than hardcoded error handling because error mappings are configurable

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

Alternatives to @delegare/mcp-tools

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@delegare/mcp-tools

Capabilities7 decomposed

mcp tool schema registration for payment delegation

agent-to-payment-service bridging via mcp protocol

payment delegation parameter validation and schema enforcement

mcp tool discovery and capability advertisement

delegare api credential management and authentication

payment delegation request logging and audit trail generation

error handling and payment failure recovery guidance

Related Artifactssharing capabilities

ai-credit-card

Fewsats

APIMatic MCP

@toolrank/mcp-server

@undisk-mcp/mcp-schema

promptspeak-mcp-server

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

Package Details

About

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Alternatives to @delegare/mcp-tools

Are you the builder of @delegare/mcp-tools?

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@delegare/mcp-tools

Capabilities7 decomposed

mcp tool schema registration for payment delegation

agent-to-payment-service bridging via mcp protocol

payment delegation parameter validation and schema enforcement

mcp tool discovery and capability advertisement

delegare api credential management and authentication

payment delegation request logging and audit trail generation

error handling and payment failure recovery guidance

Related Artifactssharing capabilities

ai-credit-card

Fewsats

APIMatic MCP

@toolrank/mcp-server

@undisk-mcp/mcp-schema

promptspeak-mcp-server

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

Package Details

About

Categories

Alternatives to @delegare/mcp-tools

Are you the builder of @delegare/mcp-tools?

Get the weekly brief

Data Sources