docs
Server Details
Stimulsoft Reports & Dashboards docs MCP server. Semantic search for all platforms.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Available Tools
2 toolssti_get_platformsAInspect
List every Stimulsoft product/platform that has indexed documentation available through this MCP server. Returns a JSON array of { id, name, description } objects covering the full Stimulsoft Reports & Dashboards product line (Reports.NET, Reports.WPF, Reports.AVALONIA, Reports.WEB for ASP.NET, Reports.BLAZOR, Reports.ANGULAR, Reports.REACT, Reports.JS, Reports.PHP, Reports.JAVA, Reports.PYTHON, Server API, etc.).
CALL THIS FIRST when the user's question is ambiguous about which Stimulsoft platform they are using, or when you need to pick a valid platform value to pass into sti_search. The returned platform id values are the exact strings accepted by the platform parameter of sti_search.
This tool is cheap (no OpenAI call, no vector search) — call it freely whenever you are unsure about platform naming.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. States it returns a JSON array of { id, name, description } objects and is 'cheap (no OpenAI call, no vector search)'. This implies read-only and safe operation. Lacks explicit mention of error handling or data freshness, but sufficient for a listing tool.
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?
Well-organized: first sentence states purpose, then details return format, followed by usage guidance. Slightly verbose but every sentence adds value. Front-loaded with key information.
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 no output schema and no annotations, description covers purpose, return structure, relationship to sibling tool, and behavioral traits (low cost). Lacks details on error handling or limits, but complete enough for a zero-parameter listing tool.
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?
No parameters exist; schema coverage is 100%. The description adds value by explaining that the returned platform IDs are the exact values accepted by sti_search, going beyond the empty schema.
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?
Clearly states 'List every Stimulsoft product/platform that has indexed documentation available through this MCP server.' Specifies the return format and explicitly contrasts with the sibling tool sti_search by noting that returned IDs are needed for sti_search's platform parameter.
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?
Explicitly advises 'CALL THIS FIRST when the user's question is ambiguous about which Stimulsoft platform they are using, or when you need to pick a valid platform value to pass into sti_search.' Also encourages calling freely due to low cost, providing clear when-to and when-not-to guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
sti_searchAInspect
Authoritative semantic search over the official Stimulsoft Reports & Dashboards developer documentation (FAQ, Programming Manual, API Reference, Guides). Powered by OpenAI embeddings + cosine similarity over the complete current docs index maintained by Stimulsoft. Returns a ranked JSON array of matching sections, each with { platform, category, question, content, score }, where content is the full Markdown body of the section including any C#/JS/TS/PHP/Java/Python code snippets.
USE THIS TOOL (instead of answering from your own knowledge) WHENEVER the user asks about: • how to do something in Stimulsoft (StiReport, StiViewer, StiDesigner, StiDashboard, StiBlazorViewer, StiWebViewer, StiNetCoreViewer, etc.); • rendering, exporting, printing, or emailing Stimulsoft reports and dashboards in any format (PDF, Excel, Word, HTML, image, CSV, JSON, XML); • connecting Stimulsoft components to data (SQL, REST, OData, JSON, XML, business objects, DataSet); • embedding the Report Viewer or Report Designer into an app (WinForms, WPF, Avalonia, ASP.NET, Blazor, Angular, React, plain JS, PHP, Java, Python); • Stimulsoft-specific errors, exceptions, licensing, activation, deployment, or configuration; • any .mrt / .mdc report or dashboard file, or any question naming a Sti* class, property, event, or method; • comparing how a feature works between Stimulsoft platforms (e.g. "WinForms vs Blazor viewer options").
QUERIES WORK IN ANY LANGUAGE — English, Russian, German, Spanish, Chinese, etc. Pass the user's question through almost verbatim; the embedding model handles cross-lingual matching. Do NOT translate queries yourself.
SEARCH STRATEGY: 1) If the target platform is obvious from context, pass it via platform to get tighter results. 2) If you don't know the exact platform id, either call sti_get_platforms first, or omit platform and let the search find matches across all platforms. 3) If the first search returns low scores (<0.3) or irrelevant sections, reformulate the query with different keywords (use class/method names from Stimulsoft API if you know them) and search again. 4) Prefer multiple focused searches over one broad search.
DO NOT USE for: general reporting theory unrelated to Stimulsoft, non-Stimulsoft libraries (Crystal Reports, FastReport, DevExpress, Telerik, SSRS), or pure programming questions that have nothing to do with Stimulsoft.
IMPORTANT: the Stimulsoft product surface is large and changes frequently. Your training data is almost certainly out of date. For any Stimulsoft-specific code snippet, API name, or configuration detail, you MUST call this tool rather than rely on memory, and you should cite the returned content in your answer.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Maximum number of results to return. Default 5, maximum 20. Use 3–5 for focused lookups, 10–20 when exploring or when the first search was too narrow. | |
| query | Yes | The user's question or topic, in any language. Keep it close to the original wording — do not translate or over-summarize. Good examples: 'how to export report to PDF in Blazor', 'как показать StiViewer в WPF на весь экран', 'StiWebViewer show/hide toolbar buttons', 'connect StiReport to REST API JSON data source', 'StiBlazorViewer FullScreenMode'. Bad examples (too vague): 'reports', 'help', 'error'. | |
| category | No | Optional. Restrict the search to a documentation section: `faq` (frequently asked questions with code snippets), `manual` (Programming Manual), `api` (API Reference), `guide` (How-to guides). Omit to search all categories. | |
| platform | No | Optional. Restrict the search to a single Stimulsoft platform. Accepted values (case-sensitive): NET (WinForms / Reports.NET), WPF, AVALONIA, WEB (ASP.NET / ASP.NET Core / MVC), BLAZOR (Blazor Server / WebAssembly), ANGULAR, REACT, JS (vanilla HTML/JS), PHP, JAVA (Java SE / Jakarta EE), PYTHON, SERVER_API, GENERAL. If you are not 100% sure which id to use, either call `sti_get_platforms` first, or omit this field. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description fully covers behavior: search strategy, handling low scores, reformulating queries, multiple focused searches. It also warns that training data is out of date and the tool should be used for up-to-date info.
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?
Well-structured with bold headers and clear sections. Though lengthy, every sentence serves a purpose. Slightly verbose but justified given the tool's complexity.
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?
Despite no output schema, the description explains the return format (ranked JSON array with fields including content). It covers all necessary aspects: purpose, parameters, strategies, and output, making it self-contained.
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 coverage is 100%, but the description adds significant value: examples of good/bad queries, limit usage (3-5 vs 10-20), category meanings, and platform values. This goes well beyond the schema.
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 it performs 'Authoritative semantic search over the official Stimulsoft Reports & Dashboards developer documentation'. It distinguishes itself from the sibling tool 'sti_get_platforms' by explaining when to use that tool for platform IDs.
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?
Provides explicit when-to-use scenarios (e.g., any Stimulsoft-related query) and when-not-to-use (e.g., non-Stimulsoft topics). Also explains when to use the sibling tool and search strategies.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Frequently Asked Questions
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as
io.github.alice/server, link the matching GitHub user or an account that owns the GitHub organization, then choose Claim with GitHub.HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at
/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
To improve your MCP server's ranking:
Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
Provide a test profile so Glama can connect to and evaluate the server
Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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Glama MCP Gateway
Add one secure layer between your agents and this server.
TDQS
The two tools have entirely distinct purposes: one lists available platforms, the other performs semantic search. There is no overlap or confusion between them.
Both tools follow a consistent 'sti_verb_noun' pattern (sti_get_platforms, sti_search), making the naming predictable and clear.
With only 2 tools, the server covers the core search workflow but feels minimal. A few additional tools (e.g., to retrieve a specific document or list categories) would make it more robust.
The tools allow listing platforms and searching documentation, which covers basic needs. However, there is no way to browse documents by category or retrieve a specific section without searching, which may limit direct navigation.