mcp-abap-keyword
Provides tools to search ABAP keywords, look up glossary terms, browse ABAP topics (Dictionary, CDS, Programming Language, RAP, etc.), and navigate the main documentation structure from SAP's official ABAP Keyword Documentation.
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., "@mcp-abap-keywordsearch for ABAP keyword SELECT"
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.
MCP ABAP Keyword Server
A Model Context Protocol (MCP) server for accessing ABAP Keyword Documentation from SAP's official documentation site (https://help.sap.com).
π Available Languages:
English (this file)
ζ₯ζ¬θͺ (Japanese)
Features
π Search for ABAP keywords in the official ABAP Index
π Look up terms in the ABAP Glossary
π Browse ABAP topics (Dictionary, CDS, Programming Language, RAP, etc.)
ποΈ Navigate the main documentation structure
β‘ Intelligent caching system for fast repeated queries (1-year cache TTL)
π Up to 44x faster response times for cached content
Related MCP server: ADT MCP Server
Prerequisites
Node.js 18.0.0 or higher
npm 9.0.0 or higher
TypeScript 5.3.0 or higher
Node.js Setup Guide
macOS
Option 1: Using Homebrew (Recommended)
# Install Homebrew if not already installed
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
# Install Node.js
brew install node
# Verify installation
node --version
npm --versionOption 2: Direct Download
Visit https://nodejs.org/
Download the LTS (Long Term Support) version for macOS
Run the installer and follow the prompts
Verify installation by opening Terminal and running:
node --version
npm --versionWindows
Option 1: Using Installer (Recommended)
Visit https://nodejs.org/
Download the LTS version for Windows
Run the
.msiinstallerFollow the installation wizard (accept default settings)
Open Command Prompt and verify:
node --version
npm --versionOption 2: Using Chocolatey
# If Chocolatey is installed
choco install nodejs
# Verify installation
node --version
npm --versionOption 3: Using Windows Package Manager
winget install OpenJS.NodeJS
# Verify installation
node --version
npm --versionInstallation
npm installBuild
npm run buildDevelopment
npm run devTesting
Test scripts are located in the test/ directory (excluded from version control).
# Run cache performance test
node test/test-cache.js
# Run RAP behavior definition test
node test/test-rap-detailed.js
# Run basic functionality tests
node test/test.jsSee test/README.md for more details.
Available Tools
1. search_abap_keyword
Search for ABAP keywords in the official ABAP Index.
Parameters:
keyword(required): The ABAP keyword to search for (e.g., 'SELECT', 'DATA', 'CLASS')
Example:
{
"keyword": "SELECT"
}2. lookup_glossary
Look up a term in the ABAP Glossary to get its definition and explanation.
Parameters:
term(required): The term to look up (e.g., 'ABAP Objects', 'CDS', 'RAP')
Example:
{
"term": "ABAP Objects"
}3. get_abap_topic
Get detailed information about a specific ABAP topic area.
Parameters:
topic(required): The topic to explore. Available topics:dictionaryorddic- ABAP Dictionarycds- ABAP Core Data Servicesprogrammingorlanguage- ABAP Programming Languageraporrestful- ABAP RESTful Application Programming Modelexamples- ABAP Examplesnewsorreleases- Release News
Example:
{
"topic": "cds"
}4. browse_main_topics
Browse all main topics in the ABAP Keyword Documentation. Returns a categorized overview of available documentation sections.
Parameters: None
Configuration
Claude Desktop / Claude Code
To use this MCP server with Claude Desktop or Claude Code, add the configuration to your Claude config file:
macOS/Linux
Edit ~/Library/Application Support/Claude/claude_desktop_config.json (Claude Desktop) or ~/.config/claude-code/config.json (Claude Code):
{
"mcpServers": {
"mcp-abap-keyword": {
"command": "node",
"args": ["/absolute/path/to/mcp-abap-keyword/build/index.js"]
}
}
}Command Line Method:
# Add the MCP server using claude command
claude mcp add mcp-abap-keyword node /absolute/path/to/mcp-abap-keyword/build/index.jsWindows
Edit %APPDATA%\Claude\claude_desktop_config.json (Claude Desktop) or %APPDATA%\claude-code\config.json (Claude Code):
{
"mcpServers": {
"mcp-abap-keyword": {
"command": "node",
"args": ["C:\\absolute\\path\\to\\mcp-abap-keyword\\build\\index.js"]
}
}
}Command Line Method:
# Add the MCP server using claude command
claude mcp add mcp-abap-keyword node C:\absolute\path\to\mcp-abap-keyword\build\index.jsNote: After adding the configuration, restart Claude Desktop or Claude Code for the changes to take effect.
Cline (VS Code Extension)
To use this MCP server with Cline, follow these steps:
macOS
Install the Cline extension in VS Code
Open VS Code settings (Code > Preferences > Settings or Cmd+,)
Search for "Cline" and find the MCP settings section
Add the server configuration to your
settings.json:
{
"cline.mcpServers": {
"mcp-abap-keyword": {
"command": "node",
"args": ["/absolute/path/to/mcp-abap-keyword/build/index.js"]
}
}
}Alternatively, edit .vscode/settings.json in your workspace:
{
"cline.mcpServers": {
"mcp-abap-keyword": {
"command": "node",
"args": ["${workspaceFolder}/../mcp-abap-keyword/build/index.js"]
}
}
}Windows
Install the Cline extension in VS Code
Open VS Code settings (File > Preferences > Settings or Ctrl+,)
Search for "Cline" and find the MCP settings section
Add the server configuration to your
settings.json:
{
"cline.mcpServers": {
"mcp-abap-keyword": {
"command": "node",
"args": ["C:\\absolute\\path\\to\\mcp-abap-keyword\\build\\index.js"]
}
}
}Alternatively, edit .vscode\settings.json in your workspace:
{
"cline.mcpServers": {
"mcp-abap-keyword": {
"command": "node",
"args": ["${workspaceFolder}\\..\\mcp-abap-keyword\\build\\index.js"]
}
}
}Make sure to replace the path with the actual absolute path to your project's build directory.
Data Source
All information is retrieved from SAP's official ABAP Keyword Documentation: https://help.sap.com/doc/abapdocu_latest_index_htm/latest/en-US/ABENABAP.html
Caching
The server implements an efficient file-based caching system to improve performance:
Cache Location:
cache/directory (relative to the script location)Cache Format: Gzip-compressed HTML files (
.html.gz)File Naming: SHA256 hashes of page URLs (12-character hex) +
.html.gzextensionCache TTL: 365 days (1 year) - configurable
HTML Cleaning: Automatically removes unnecessary elements before caching:
External scripts (
<script src>)Stylesheet links (
<link>tags)Metadata (
<meta>tags)Inline styles (
<style>tags)Noscript fallbacks (
<noscript>tags)HTML comments
Compression: Uses gzip with maximum compression (level 9) for efficient storage
Automatic Management: No manual cache management required
Cache Invalidation: Automatic after 365 days
Performance: Up to 44x faster response times for cached content
To clear the cache manually:
rm -rf cacheLicense
MIT
Available Tools
6 toolsbrowse_main_topicsA
Browse all main topics in the ABAP Keyword Documentation. Returns a categorized overview of available documentation sections.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the behavioral disclosure burden. It does mention that the tool 'returns a categorized overview', which adds some clarity about the output, but it does not describe limitations, pagination, language specifics, or what 'main topics' includes beyond the title.
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 consists of two short, purposeful sentences. The first states the action and scope, and the second clarifies the expected result. There is no redundant or filler content.
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?
For a simple zero-parameter browse tool with no output schema, the description provides enough context to understand the tool's core purpose and what it returns. The phrase 'categorized overview of available documentation sections' is concise yet sufficient, though slightly more detail about the category structure could improve completeness.
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 tool has zero parameters, so there is nothing additional to explain about parameter usage or semantics. The baseline of 4 applies because no parameter information is needed.
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 uses a specific verb ('Browse') with a clear resource ('all main topics in the ABAP Keyword Documentation') and adds a return summary ('categorized overview'). It is clear enough to distinguish from search/lookup siblings, though it does not explicitly differentiate from the similarly scoped 'get_abap_subjects'.
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 implies use for a high-level overview but does not state exclusions, prerequisites, or when to prefer a sibling tool like 'get_abap_subjects' or 'search_abap_keyword'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_abap_indexA
Get the complete ABAP Keyword Index with all entries. Returns all keywords/terms with their documentation page references, organized alphabetically. Use this to let the LLM search for specific ABAP keywords.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
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 that the tool returns all entries and organizes them alphabetically, which adds context, but it does not mention potential response size, pagination, or explicitly confirm that this is a read-only operation. The description is honest but not richly detailed.
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 two sentences, front-loaded with the core action and result. The second sentence adds a practical usage hint without unnecessary elaboration. Every phrase earns its place.
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?
For a simple no-parameter getter, the description adequately covers what the tool does and what it returns. The main gap is the lack of explicit differentiation from the sibling search tool, which could mislead an agent in tool selection, but the description is otherwise complete for its simplicity.
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 zero parameters, so there is no parameter meaning to convey. The description appropriately focuses on the return value instead. Given the 0-parameter baseline of 4, this is a solid score.
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 the complete ABAP Keyword Index with all entries' and specifies the return content: 'all keywords/terms with their documentation page references, organized alphabetically.' This specific verb+resource combination distinguishes it from sibling search_abap_keyword, which likely performs a targeted search.
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 an implied use case: 'Use this to let the LLM search for specific ABAP keywords,' but it does not explicitly contrast this with the alternative search_abap_keyword tool or state when to prefer one over the other. It lacks clear exclusions or alternative guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_abap_subjectsA
Get the complete ABAP Subject Directory with all entries. Returns all subjects/topics with their documentation page references, organized alphabetically. Use this to let the LLM search for specific ABAP subjects.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses that the tool returns all entries (no filtering), includes page references, and is alphabetically organized, implying a read-only directory operation. This is meaningful behavioral context beyond just 'get subjects.'
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 two tight sentences: the first states what the tool does, the second states when to use it. No redundancy or irrelevant details, making it highly efficient.
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 there is no output schema, the description appropriately summarizes the return content (subjects/topics with page references) and organization (alphabetical). It doesn't detail exact data structures, but for a zero-parameter directory tool, this is reasonably complete.
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 tool has zero parameters, so the schema is trivially complete. The baseline for 0 parameters is 4, and the description adds no parameter-specific details because none are needed.
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 tool gets the complete ABAP Subject Directory, and specifies it returns all subjects/topics with documentation page references, organized alphabetically. It is well-scoped and distinguishes from siblings like search_abap_keyword by emphasizing 'complete' and 'all entries.'
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 explicitly says 'Use this to let the LLM search for specific ABAP subjects,' providing a clear use case. However, it does not mention alternatives or exclusions, so it lacks the 'when-not-to-use' guidance that would earn a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_abap_topicB
Get detailed information about a specific ABAP topic area (Dictionary, CDS, Programming Language, RAP, etc.)
| Name | Required | Description | Default |
|---|---|---|---|
| topic | Yes | The topic to explore (e.g., 'dictionary', 'cds', 'programming', 'rap', 'examples') |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description alone must disclose behavioral traits. It states that it gets information but does not clarify return format, validation of the topic parameter, error handling, or any other side effects. This is minimal disclosure beyond the obvious read operation.
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 sentence, front-loaded with the verb and resource, and uses parenthetical examples compactly. There is no filler or redundant 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?
The tool has one parameter and no output schema, so the description should convey what the agent will receive. It says 'detailed information' but not whether the output is text, structured data, or a list. For a simple tool, this is a noticeable but not severe gap.
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 already documents the 'topic' parameter with examples, achieving 100% coverage. The description repeats similar examples in prose without adding new details like allowed values, case sensitivity, or default behavior. With high schema coverage, the baseline of 3 is appropriate.
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 verb 'Get' and the resource 'detailed information about a specific ABAP topic area', with concrete examples (Dictionary, CDS, RAP). This distinguishes it from sibling tools like search_abap_keyword and browse_main_topics, though it does not explicitly name alternatives.
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 implies use for a specific topic but does not mention when to choose search_abap_keyword or browse_main_topics instead, leaving the decision entirely to the agent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
lookup_glossaryA
Look up a term in the ABAP Glossary to get its definition and explanation.
| Name | Required | Description | Default |
|---|---|---|---|
| term | Yes | The term to look up in the glossary (e.g., 'ABAP Objects', 'CDS', 'RAP') |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description is the only source. It implies a read-only lookup operation and indicates that the output includes a definition and explanation, but it does not explicitly state side-effect-free behavior, error handling, or access requirements. For a simple lookup, this is minimally adequate.
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 clear sentence that efficiently conveys purpose without unnecessary words.
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?
The description sufficiently explains what the tool does for a simple single-parameter lookup. It does not include details on return format or edge cases, but the statement that it returns a definition and explanation is adequate given no output schema and low complexity.
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 already fully describes the 'term' parameter with examples. The description does not add additional semantic detail beyond restating that a term is looked up, so it does not elevate above the schema baseline.
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 tool's function: looking up a term in the ABAP Glossary to retrieve its definition and explanation. The verb 'look up' and specific resource 'ABAP Glossary' differentiate it from sibling tools like search_abap_keyword or browse_main_topics.
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?
There is no guidance on when to use this tool versus the sibling tools. It does not mention alternatives, prerequisites, or specific scenarios, such as when a user needs a formal glossary definition rather than a broader keyword search.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_abap_keywordA
Search for ABAP keywords in the official ABAP Index. Returns matching keywords with links to their documentation.
| Name | Required | Description | Default |
|---|---|---|---|
| keyword | Yes | The ABAP keyword to search for (e.g., 'SELECT', 'DATA', 'CLASS') |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It discloses that the tool returns matching keywords with documentation links, which is useful. However, it does not mention details such as case sensitivity, result limits, or whether any authentication is needed, leaving gaps for a search operation.
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 exactly two sentences, with the purpose stated first and the return value succinctly added. Every word earns its place, with no redundancy or filler.
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 tool's simplicity (one parameter, no output schema), the description adequately clarifies what the tool does and what it returns. It could be slightly richer with mention of expected result format or edge cases, but for a search-style tool it is largely complete.
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 covers the single parameter 'keyword' with a clear description and examples (100% coverage). The tool description adds no extra meaning beyond 'Search for ABAP keywords,' which is already implied by the schema. Baseline 3 is appropriate.
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 uses the specific verb 'Search' and identifies the resource as 'ABAP keywords in the official ABAP Index,' which clearly distinguishes it from siblings like get_abap_index (which likely lists the index) and lookup_glossary (which suggests glossary terms). The return value is also stated, adding clarity.
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 implies usage for searching ABAP keywords, but it does not explicitly state when to use this tool over sibling tools like lookup_glossary or get_abap_index. There are no direct exclusion criteria or alternative recommendations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
TDQS
Some overlap exists between search_abap_keyword and get_abap_index, as both are described as methods for finding ABAP keywords. The descriptions clarify that one is a search and the other returns the full index, but the stated use cases overlap. Other tools like lookup_glossary and get_abap_topic are distinct.
Tool names follow a consistent verb_noun pattern with snake_case, e.g., search_abap_keyword, get_abap_topic. Minor inconsistency is lookup_glossary not including 'abap' as a descriptor, but the pattern remains readable. Overall, the naming is predictable.
With 6 tools, the server is well-scoped for its purpose of providing ABAP keyword documentation. Each tool serves a function in searching and browsing the documentation, and the count is within the ideal range.
The tool set covers searching keywords, browsing main topics, retrieving topic details, glossary lookup, and full index/subject directories. A minor gap is the lack of a direct tool for retrieving full documentation for a specific keyword beyond the index links, but the core browsing and search capabilities are well covered.
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