@aikidosec/mcp

MCP ServerFree

Aikido MCP server

Open Source

/ 100

7 capabilities2 data sources

Capabilities7 decomposed

mcp server protocol implementation with security-first design

Medium confidence

Implements the Model Context Protocol (MCP) server specification, enabling Claude and other LLM clients to invoke security analysis tools through standardized JSON-RPC message exchange. The server exposes security capabilities via MCP's resource and tool abstractions, handling bidirectional communication with type-safe request/response routing and built-in error handling for malformed or unauthorized requests.

Solves for

I want to connect Claude to Aikido's security scanning capabilities without building custom API integrationsI need to expose security analysis tools to LLM agents through a standardized protocolI want to ensure security tool invocations are properly validated and logged before execution

Best for

Teams integrating Aikido security scanning into Claude-powered workflows

Developers building LLM agents that need real-time security analysis capabilities

Organizations standardizing on MCP for tool integration across multiple LLM clients

Requires

Node.js 16+ (typical for npm packages)

MCP client implementation (Claude desktop, or custom MCP client library)

Aikido API credentials or local security scanning engine

Limitations

MCP protocol overhead adds ~50-100ms per request/response cycle compared to direct API calls

Requires MCP-compatible client (Claude, or custom MCP client implementation)

No built-in request queuing or rate limiting — relies on upstream client for throttling

What makes it unique

Purpose-built MCP server specifically for security scanning integration, likely includes pre-configured security tool schemas and Aikido-specific resource types rather than generic MCP scaffolding

vs alternatives

Provides native MCP integration for Aikido security tools without requiring custom wrapper code, whereas generic MCP server templates require manual tool schema definition and error handling

security vulnerability scanning tool exposure via mcp resources

Medium confidence

Exposes Aikido's security scanning capabilities (SAST, dependency analysis, secrets detection) as callable MCP tools with predefined schemas. Each tool accepts code context, file paths, or configuration parameters and returns structured vulnerability findings with severity levels, CWE mappings, and remediation steps. The implementation likely uses MCP's tool registry pattern to dynamically advertise available security checks.

Solves for

I want Claude to analyze code snippets for vulnerabilities without leaving the conversationI need to trigger Aikido security scans from within an LLM agent workflowI want to get structured vulnerability data back from security scans for further processing

Best for

Security teams using Claude for code review and vulnerability triage

Developers building security-aware LLM agents for CI/CD pipelines

Organizations automating security analysis as part of LLM-driven development workflows

Requires

Aikido account or self-hosted Aikido instance

API credentials with appropriate security scanning permissions

MCP client with tool invocation support

Limitations

Scan latency depends on code size and Aikido backend performance — large codebases may timeout

Tool schemas are static at server startup — cannot dynamically add new security checks without restart

No built-in caching of scan results — repeated scans of identical code trigger full re-analysis

What makes it unique

Integrates Aikido's multi-modal security scanning (SAST, dependency analysis, secrets detection) into a single MCP tool interface, likely with intelligent context routing to the appropriate Aikido backend based on input type

vs alternatives

Provides unified access to Aikido's full security scanning suite through MCP, whereas alternatives like Semgrep MCP or Snyk MCP expose only single-purpose scanning engines

aikido security context and configuration management for mcp clients

Medium confidence

Manages Aikido-specific configuration (API endpoints, authentication tokens, scan policies, rule sets) at the MCP server level, allowing clients to invoke security tools without managing credentials directly. The server likely implements MCP's resource abstraction to expose available security policies and scan configurations as queryable resources, enabling clients to discover and select appropriate scanning profiles.

Solves for

I want to configure Aikido security policies once at the server level and have all MCP clients use themI need to query available security scan profiles and select one for a specific analysisI want to enforce organization-wide security scanning rules through the MCP server

Best for

Enterprise teams centralizing security tool configuration across multiple LLM clients

Organizations with strict security policies requiring server-enforced scanning rules

Teams managing multiple Aikido workspaces and needing per-workspace MCP server instances

Requires

Aikido API credentials with admin or configuration permissions

Environment variables or config file for server initialization

MCP client capable of querying resources

Limitations

Configuration changes require server restart — no hot-reload of policies

No built-in role-based access control (RBAC) — all MCP clients see all configured policies

Credentials stored in server environment or config files — requires secure deployment practices

What makes it unique

Centralizes Aikido configuration at the MCP server level using MCP's resource pattern, enabling policy-driven security scanning without per-client credential management

vs alternatives

Provides server-side policy enforcement for security scanning, whereas direct API integration requires each client to manage credentials and policies independently

mcp client request validation and security enforcement

Medium confidence

Implements request validation at the MCP server boundary, checking that incoming tool invocations conform to expected schemas and enforcing security policies before delegating to Aikido backends. Uses JSON schema validation, rate limiting, and potentially request signing to prevent unauthorized or malformed security scan requests. May include audit logging of all security tool invocations for compliance tracking.

Solves for

I want to ensure only authorized clients can trigger security scans through this MCP serverI need to validate that scan requests include required parameters before sending to AikidoI want to log all security scanning activity for compliance and audit purposes

Best for

Organizations with strict security and compliance requirements (SOC2, ISO27001)

Teams deploying MCP servers in multi-tenant or untrusted network environments

Enterprises needing audit trails of all security tool usage

Requires

MCP client with proper authentication setup

Optional: external audit logging service (Datadog, Splunk, CloudWatch)

Optional: rate limiting configuration (requests per minute, per client)

Limitations

Validation logic adds ~10-20ms latency per request

No built-in authentication beyond MCP protocol-level security — relies on network-level auth (mTLS, API keys)

Audit logging requires external storage (database, log aggregation service) — no built-in persistence

What makes it unique

Implements security-first request validation at the MCP protocol layer, likely with Aikido-specific schema validation and audit logging built into the server core

vs alternatives

Provides server-side validation and audit logging for all security tool invocations, whereas client-side validation can be bypassed and lacks centralized audit trails

aikido backend integration and error handling for mcp

Medium confidence

Manages communication with Aikido's security scanning backend (cloud API or self-hosted instance), translating MCP tool invocations into Aikido API calls and converting responses back to MCP-compatible JSON. Implements retry logic, timeout handling, and graceful degradation when Aikido backend is unavailable. Likely includes connection pooling and caching of frequently-used scan results to reduce backend load.

Solves for

I want security scans triggered through MCP to reliably reach Aikido's backend even with network issuesI need meaningful error messages when Aikido scanning fails so the LLM can handle it gracefullyI want to reduce backend load by caching results of identical scans

Best for

Teams running Aikido in cloud or self-hosted environments with variable network conditions

Organizations needing high-availability security scanning through MCP

Developers building resilient LLM agents that gracefully handle security tool failures

Requires

Aikido API endpoint (cloud or self-hosted)

Valid Aikido API credentials

Network connectivity to Aikido backend

Limitations

Retry logic may add 5-30 seconds latency on backend failures

Result caching is in-memory only — lost on server restart, no distributed cache support

No circuit breaker pattern — repeated backend failures will continue to retry indefinitely

What makes it unique

Implements Aikido-specific backend integration with retry logic and result caching at the MCP server level, abstracting backend complexity from MCP clients

vs alternatives

Provides resilient backend integration with built-in retry and caching, whereas direct MCP clients would need to implement their own error handling and result deduplication

code context extraction and normalization for security scanning

Medium confidence

Extracts and normalizes code context from MCP client requests (code snippets, file paths, repository metadata) into a format suitable for Aikido's security scanning engine. Handles multiple input formats (raw code strings, file paths, git repository references) and normalizes them into a canonical representation. May include language detection, dependency extraction, and framework identification to route scans to appropriate Aikido analyzers.

Solves for

I want to send code snippets to Aikido for scanning without manually formatting themI need Aikido to automatically detect the programming language and apply appropriate security rulesI want to scan a specific file or directory in a repository without uploading the entire codebase

Best for

Developers using Claude to analyze code snippets for vulnerabilities

Teams integrating Aikido scanning into LLM-driven code review workflows

Organizations needing flexible input formats for security scanning (snippets, files, repos)

Requires

Code input (string, file path, or repository reference)

Optional: language hint (string)

Optional: file system access for path-based inputs

Limitations

Language detection may fail for ambiguous or polyglot code — requires explicit language hints

File path resolution requires access to the repository filesystem — cannot scan remote repositories without cloning

Large code snippets (>100KB) may exceed MCP message size limits — requires chunking or streaming

What makes it unique

Implements intelligent code context extraction with automatic language and framework detection, routing to appropriate Aikido analyzers based on detected context

vs alternatives

Provides flexible input handling with automatic language detection, whereas raw Aikido API requires clients to pre-process code and specify language explicitly

vulnerability finding aggregation and formatting for llm consumption

Medium confidence

Aggregates security findings from Aikido's backend, deduplicates results, and formats them for optimal LLM consumption. Transforms raw vulnerability data into structured JSON with human-readable descriptions, severity levels, CWE/CVE references, and remediation guidance. May include filtering by severity, deduplication of similar findings, and ranking by exploitability or business impact.

Solves for

I want security findings formatted in a way Claude can easily understand and act onI need to filter findings by severity to focus on critical issuesI want remediation guidance included with each finding so Claude can suggest fixes

Best for

Teams using Claude for security analysis and remediation guidance

Developers building LLM agents that need to process and act on security findings

Organizations needing human-readable security reports generated by LLMs

Requires

Raw vulnerability findings from Aikido (JSON)

Optional: severity filter configuration

Optional: deduplication rules

Limitations

Deduplication logic may miss related findings with slight variations in description

Severity filtering is based on Aikido's severity scale — may not align with organization's risk model

Remediation guidance is sourced from Aikido — may be generic or not applicable to specific codebase

What makes it unique

Formats Aikido findings specifically for LLM consumption with deduplication, severity filtering, and remediation guidance aggregation

vs alternatives

Provides LLM-optimized finding formatting with built-in deduplication and remediation guidance, whereas raw Aikido API returns unformatted findings requiring client-side processing

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

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mcp protocol compliance validation and testingmcp server implementation patterns and reference code

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Agentic Radar

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mcp (model context protocol) server detection and security assessment

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MCP Server40

mcp-for-security

MCP for Security: A collection of Model Context Protocol servers for popular security tools like SQLMap, FFUF, NMAP, Masscan and more. Integrate security testing and penetration testing into AI workflows.

mcp-standardized security tool abstraction layer

1 shared capability

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agent-scan

Security scanner for AI agents, MCP servers and agent skills.

mcp server static vulnerability scanning via natural-language analysis

1 shared capability

MCP Server19

MCP Hunt

** - Realtime platform for discovering trending MCP servers with momentum tracking, upvoting, and community discussions - like Product Hunt meets Reddit for MCP

mcp-specific security vulnerability pattern detection

1 shared capability

Best For

✓Teams integrating Aikido security scanning into Claude-powered workflows
✓Developers building LLM agents that need real-time security analysis capabilities
✓Organizations standardizing on MCP for tool integration across multiple LLM clients
✓Security teams using Claude for code review and vulnerability triage
✓Developers building security-aware LLM agents for CI/CD pipelines
✓Organizations automating security analysis as part of LLM-driven development workflows
✓Enterprise teams centralizing security tool configuration across multiple LLM clients
✓Organizations with strict security policies requiring server-enforced scanning rules

Known Limitations

⚠MCP protocol overhead adds ~50-100ms per request/response cycle compared to direct API calls
⚠Requires MCP-compatible client (Claude, or custom MCP client implementation)
⚠No built-in request queuing or rate limiting — relies on upstream client for throttling
⚠Limited to MCP v1.x specification — no support for streaming responses in early versions
⚠Scan latency depends on code size and Aikido backend performance — large codebases may timeout
⚠Tool schemas are static at server startup — cannot dynamically add new security checks without restart

Requirements

Node.js 16+ (typical for npm packages)MCP client implementation (Claude desktop, or custom MCP client library)Aikido API credentials or local security scanning engineAikido account or self-hosted Aikido instanceAPI credentials with appropriate security scanning permissionsMCP client with tool invocation supportAikido API credentials with admin or configuration permissionsEnvironment variables or config file for server initialization

Input / Output

Accepts: JSON-RPC method calls, code snippets or file paths, security scan parameters (severity levels, rule sets), code snippets (string), file paths (string), language/framework hints (string), scan configuration (JSON object with severity filters, rule sets), configuration parameters (JSON), Aikido API credentials (string), security policy definitions (JSON), MCP tool invocation requests (JSON-RPC), client identity/credentials (implicit in MCP transport), scan parameters (JSON), MCP tool invocation (JSON-RPC), Aikido API request (translated from MCP format), code snippet (string), file path (string), repository reference (git URL, local path), language hint (string), framework hint (string), raw Aikido vulnerability findings (JSON array), severity filter (string or array), deduplication rules (JSON)

Produces: JSON-RPC responses, security findings (structured vulnerability data), scan reports with remediation guidance, vulnerability findings (JSON array with id, severity, cwe, description, remediation), scan metadata (timestamp, duration, rules applied), remediation guidance (code examples, documentation links), available security policies (JSON array), scan configuration metadata (JSON object), policy enforcement rules (JSON), validation success/failure response (JSON-RPC error or success), audit log entries (structured JSON), rate limit status (HTTP headers or JSON metadata), Aikido API response (JSON), MCP-formatted response (JSON-RPC), error responses with retry guidance, normalized code context (JSON object with code, language, dependencies, metadata), language/framework detection results (JSON), routing hints for Aikido analyzers (JSON), formatted vulnerability findings (JSON array with id, severity, cwe, description, remediation, code_location), summary statistics (JSON with total count, severity breakdown), paginated results (JSON with offset, limit, total_count)

UnfragileRank

Adoption45%(30% weight)

Quality16%(25% weight)

Ecosystem47%(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 @aikidosec/mcp→

Package Details

npm

Registry

1.0.5

Version

9,149

Weekly Downloads

About

Aikido MCP server

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Capabilities7 decomposed

mcp server protocol implementation with security-first design

Medium confidence

Solves for

Best for

Teams integrating Aikido security scanning into Claude-powered workflows

Developers building LLM agents that need real-time security analysis capabilities

Organizations standardizing on MCP for tool integration across multiple LLM clients

Requires

Node.js 16+ (typical for npm packages)

MCP client implementation (Claude desktop, or custom MCP client library)

Aikido API credentials or local security scanning engine

Limitations

MCP protocol overhead adds ~50-100ms per request/response cycle compared to direct API calls

Requires MCP-compatible client (Claude, or custom MCP client implementation)

No built-in request queuing or rate limiting — relies on upstream client for throttling

What makes it unique

Purpose-built MCP server specifically for security scanning integration, likely includes pre-configured security tool schemas and Aikido-specific resource types rather than generic MCP scaffolding

vs alternatives

Provides native MCP integration for Aikido security tools without requiring custom wrapper code, whereas generic MCP server templates require manual tool schema definition and error handling

security vulnerability scanning tool exposure via mcp resources

Medium confidence

Solves for

Best for

Security teams using Claude for code review and vulnerability triage

Developers building security-aware LLM agents for CI/CD pipelines

Organizations automating security analysis as part of LLM-driven development workflows

Requires

Aikido account or self-hosted Aikido instance

API credentials with appropriate security scanning permissions

MCP client with tool invocation support

Limitations

Scan latency depends on code size and Aikido backend performance — large codebases may timeout

Tool schemas are static at server startup — cannot dynamically add new security checks without restart

No built-in caching of scan results — repeated scans of identical code trigger full re-analysis

What makes it unique

vs alternatives

Provides unified access to Aikido's full security scanning suite through MCP, whereas alternatives like Semgrep MCP or Snyk MCP expose only single-purpose scanning engines

aikido security context and configuration management for mcp clients

Medium confidence

Solves for

Best for

Enterprise teams centralizing security tool configuration across multiple LLM clients

Organizations with strict security policies requiring server-enforced scanning rules

Teams managing multiple Aikido workspaces and needing per-workspace MCP server instances

Requires

Aikido API credentials with admin or configuration permissions

Environment variables or config file for server initialization

MCP client capable of querying resources

Limitations

Configuration changes require server restart — no hot-reload of policies

No built-in role-based access control (RBAC) — all MCP clients see all configured policies

Credentials stored in server environment or config files — requires secure deployment practices

What makes it unique

Centralizes Aikido configuration at the MCP server level using MCP's resource pattern, enabling policy-driven security scanning without per-client credential management

vs alternatives

Provides server-side policy enforcement for security scanning, whereas direct API integration requires each client to manage credentials and policies independently

mcp client request validation and security enforcement

Medium confidence

Solves for

Best for

Organizations with strict security and compliance requirements (SOC2, ISO27001)

Teams deploying MCP servers in multi-tenant or untrusted network environments

Enterprises needing audit trails of all security tool usage

Requires

MCP client with proper authentication setup

Optional: external audit logging service (Datadog, Splunk, CloudWatch)

Optional: rate limiting configuration (requests per minute, per client)

Limitations

Validation logic adds ~10-20ms latency per request

No built-in authentication beyond MCP protocol-level security — relies on network-level auth (mTLS, API keys)

Audit logging requires external storage (database, log aggregation service) — no built-in persistence

What makes it unique

Implements security-first request validation at the MCP protocol layer, likely with Aikido-specific schema validation and audit logging built into the server core

vs alternatives

Provides server-side validation and audit logging for all security tool invocations, whereas client-side validation can be bypassed and lacks centralized audit trails

aikido backend integration and error handling for mcp

Medium confidence

Solves for

Best for

Teams running Aikido in cloud or self-hosted environments with variable network conditions

Organizations needing high-availability security scanning through MCP

Developers building resilient LLM agents that gracefully handle security tool failures

Requires

Aikido API endpoint (cloud or self-hosted)

Valid Aikido API credentials

Network connectivity to Aikido backend

Limitations

Retry logic may add 5-30 seconds latency on backend failures

Result caching is in-memory only — lost on server restart, no distributed cache support

No circuit breaker pattern — repeated backend failures will continue to retry indefinitely

What makes it unique

Implements Aikido-specific backend integration with retry logic and result caching at the MCP server level, abstracting backend complexity from MCP clients

vs alternatives

Provides resilient backend integration with built-in retry and caching, whereas direct MCP clients would need to implement their own error handling and result deduplication

code context extraction and normalization for security scanning

Medium confidence

Solves for

Best for

Developers using Claude to analyze code snippets for vulnerabilities

Teams integrating Aikido scanning into LLM-driven code review workflows

Organizations needing flexible input formats for security scanning (snippets, files, repos)

Requires

Code input (string, file path, or repository reference)

Optional: language hint (string)

Optional: file system access for path-based inputs

Limitations

Language detection may fail for ambiguous or polyglot code — requires explicit language hints

File path resolution requires access to the repository filesystem — cannot scan remote repositories without cloning

Large code snippets (>100KB) may exceed MCP message size limits — requires chunking or streaming

What makes it unique

Implements intelligent code context extraction with automatic language and framework detection, routing to appropriate Aikido analyzers based on detected context

vs alternatives

Provides flexible input handling with automatic language detection, whereas raw Aikido API requires clients to pre-process code and specify language explicitly

vulnerability finding aggregation and formatting for llm consumption

Medium confidence

Solves for

Best for

Teams using Claude for security analysis and remediation guidance

Developers building LLM agents that need to process and act on security findings

Organizations needing human-readable security reports generated by LLMs

Requires

Raw vulnerability findings from Aikido (JSON)

Optional: severity filter configuration

Optional: deduplication rules

Limitations

Deduplication logic may miss related findings with slight variations in description

Severity filtering is based on Aikido's severity scale — may not align with organization's risk model

Remediation guidance is sourced from Aikido — may be generic or not applicable to specific codebase

What makes it unique

Formats Aikido findings specifically for LLM consumption with deduplication, severity filtering, and remediation guidance aggregation

vs alternatives

Provides LLM-optimized finding formatting with built-in deduplication and remediation guidance, whereas raw Aikido API returns unformatted findings requiring client-side processing

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

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@aikidosec/mcp

Capabilities7 decomposed

mcp server protocol implementation with security-first design

security vulnerability scanning tool exposure via mcp resources

aikido security context and configuration management for mcp clients

mcp client request validation and security enforcement

aikido backend integration and error handling for mcp

code context extraction and normalization for security scanning

vulnerability finding aggregation and formatting for llm consumption

Related Artifactssharing capabilities

AiMCP

MCPWatch

Agentic Radar

mcp-for-security

agent-scan

MCP Hunt

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

Package Details

About

Categories

Alternatives to @aikidosec/mcp

Are you the builder of @aikidosec/mcp?

Get the weekly brief

Data Sources

@aikidosec/mcp

Capabilities7 decomposed

mcp server protocol implementation with security-first design

security vulnerability scanning tool exposure via mcp resources

aikido security context and configuration management for mcp clients

mcp client request validation and security enforcement

aikido backend integration and error handling for mcp

code context extraction and normalization for security scanning

vulnerability finding aggregation and formatting for llm consumption

Related Artifactssharing capabilities

AiMCP

MCPWatch

Agentic Radar

mcp-for-security

agent-scan

MCP Hunt

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

Package Details

About

Categories

Alternatives to @aikidosec/mcp

Are you the builder of @aikidosec/mcp?

Get the weekly brief

Data Sources