{"id":"e7a2d70e-e21b-44d8-87a7-70a619c9cb1a","slug":"mcp-chrisleekr-langchain-playground","name":"langchain-playground","description":"A LangChain playground using TypeScript","canonicalUrl":"https://www.xpersona.co/mcp/mcp-chrisleekr-langchain-playground","sourceUrl":"https://github.com/chrisleekr/langchain-playground","homepage":"https://github.com/chrisleekr/langchain-playground#readme","source":"GITHUB_MCP","vendor":{"slug":"chrisleekr","label":"Chrisleekr","url":"https://github.com/chrisleekr/langchain-playground#readme"},"protocols":["MCP"],"capabilities":["LangChain","TypeScript"],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":"0.0.1","freshnessAt":"2026-02-25T03:15:46.755Z","freshnessLabel":"Feb 25, 2026","securityReviewed":true,"openapiReady":false,"stats":[{"label":"Trust score","value":"Unknown"},{"label":"Compatibility","value":"MCP"},{"label":"Freshness","value":"Feb 25, 2026"},{"label":"Vendor","value":"Chrisleekr"},{"label":"Artifacts","value":"0"},{"label":"Benchmarks","value":"0"},{"label":"Last release","value":"0.0.1"}],"factsPreview":[{"factKey":"docs_crawl","category":"integration","label":"Crawlable docs","value":"6 indexed pages on the official domain","href":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar","sourceUrl":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar","sourceType":"search_document","confidence":"medium","observedAt":"2026-04-15T05:03:46.393Z","isPublic":true},{"factKey":"vendor","category":"vendor","label":"Vendor","value":"Chrisleekr","href":"https://github.com/chrisleekr/langchain-playground#readme","sourceUrl":"https://github.com/chrisleekr/langchain-playground#readme","sourceType":"profile","confidence":"medium","observedAt":"2026-02-25T03:15:48.067Z","isPublic":true},{"factKey":"protocols","category":"compatibility","label":"Protocol compatibility","value":"MCP","href":"https://www.xpersona.co/api/v1/agents/mcp-chrisleekr-langchain-playground/contract","sourceUrl":"https://www.xpersona.co/api/v1/agents/mcp-chrisleekr-langchain-playground/contract","sourceType":"contract","confidence":"medium","observedAt":"2026-02-25T03:15:48.067Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"5 GitHub stars","href":"https://github.com/chrisleekr/langchain-playground","sourceUrl":"https://github.com/chrisleekr/langchain-playground","sourceType":"profile","confidence":"medium","observedAt":"2026-02-25T03:15:48.067Z","isPublic":true},{"factKey":"handshake_status","category":"security","label":"Handshake status","value":"UNKNOWN","href":"https://www.xpersona.co/api/v1/agents/mcp-chrisleekr-langchain-playground/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/mcp-chrisleekr-langchain-playground/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["5 GitHub stars","Trust evidence available"],"agentCard":{"name":"langchain-playground","description":"A LangChain playground using TypeScript","source":"GITHUB_MCP","sourceId":"github-mcp:779881218","homepage":"https://github.com/chrisleekr/langchain-playground#readme","repository":"https://github.com/chrisleekr/langchain-playground","documentation":"https://www.xpersona.co/mcp/mcp-chrisleekr-langchain-playground/agent/mcp-chrisleekr-langchain-playground","protocols":["MCP"],"capabilities":["LangChain","TypeScript"],"languages":["typescript"],"install":{"command":"git clone https://github.com/chrisleekr/langchain-playground.git","ecosystem":"git"},"examples":[{"kind":"example","language":"mermaid","snippet":"flowchart TB\n subgraph top [\" \"]\n direction TB\n LC[LangChain.js] --> Supervisor[\"Investigate
(Supervisor)\"]\n end\n \n Supervisor --> SupervisorFlow\n \n subgraph SupervisorFlow [\"Supervisor Prompt - Investigation flow\"]\n direction TB\n \n subgraph agents [\" \"]\n direction LR\n NR[\"NewRelic Expert
(ReAct Agent)\"]\n SE[\"Sentry Expert
(ReAct Agent)\"]\n RE[\"Research Expert
(ReAct Agent)\"]\n AWS[\"AWS ECS Expert
(ReAct Agent)\"]\n end\n \n subgraph NRTools [\"Tools\"]\n NR1[\"Get Issue/Incident/Alert from NewRelic
(get_investigation_context)\"]\n NR2[\"Use LLM to generate trace NRQL for
violated logs based on alert title
and alert NRQL
(generate_log_nrql_query)\"]\n NR3[\"Use LLM to generate NRQL to get
trace logs based on trace id
(generate_trace_logs_query)\"]\n NR4[\"Fetch logs and use LLM to summarise
investigation information
(fetch_and_analyze_logs)\"]\n NR1 --> NR2 --> NR3 --> NR4\n end\n \n subgraph SETools [\"Tools\"]\n SE1[\"Get issues from Sentry
(investigate_and_analyze_sentry_issue)\"]\n end\n \n subgraph RETools [\"Tools\"]\n RE1[\"Brave Search MCP\"]\n RE2[\"Context7 MCP\"]\n RE3[\"More MCPs\"]\n end\n \n subgraph AWSTools [\"Tools\"]\n AWS1[\"Analyses ECS task status, CloudWatch
metrics and service events
(investigate_and_analyze_ecs_tasks)\"]\n end\n \n NR --> NRTools\n SE --> SETools\n RE --> RETools\n AWS --> AWSTools\n end\n \n SupervisorFlow --> Final[\"Return final summarised investigation\"]"},{"kind":"example","language":"mermaid","snippet":"flowchart TB\n subgraph header [\" \"]\n direction LR\n LC[LangChain.js]\n Slack[Slack]\n MCP[MCP Tool]\n end\n \n Investigate((Investigate)) -.-> Sentry[Sentry]\n \n Investigate --> GetIssue[\"Get issue from Sentry\"]\n GetIssue --> NormalizeIssue[\"Normalize Sentry issue
- Remove unnecessary data from issue\"]\n \n NormalizeIssue --> GetEvent[\"Get latest issue event from Sentry\"]\n GetEvent --> NormalizeEvent[\"Normalize Sentry issue event
- Extract only necessary event data
including stack trace\"]\n \n NormalizeEvent --> HasStackTrace{\"Retrieved stack trace?\"}\n \n HasStackTrace -->|No| Summarize[\"Use LLM to summarise
investigation information\"]\n \n HasStackTrace -->|Yes| LoopStackTrace\n \n subgraph LoopStackTrace [\"Loop stack trace\"]\n direction TB\n CheckNodeModules{\"filename contains
node_modules?\"}\n CheckNodeModules -->|\"If yes, skip\"| CheckNodeModules\n CheckNodeModules -->|\"No, then let's fetch the file\"| CheckAvailable{\"Does filename and function
are available?
- in case anonymous?\"}\n CheckAvailable -->|\"If no, skip\"| CheckNodeModules\n CheckAvailable -->|\"Yes, available\"| FetchFile[\"Fetch file content from
source code repository\"]\n FetchFile --> ExtractBody[\"Extract function body\"]\n ExtractBody --> Override[\"Override stack trace with original
source code function body\"]\n Override --> CheckNodeModules\n end\n \n FetchFile -.-> GitHub[GitHub]\n FetchFile -.-> GitLab[GitLab]\n FetchFile -.-> Bitbucket[Bitbucket]\n \n LoopStackTrace --> Summarize"}]}}